About Us (Ensono)

Ensono is an expert technology adviser and managed service provider. As a relentless ally, we accelerate clients’ digital transformation to achieve business outcomes that stand to last. Our dedicated team helps organizations optimize today’s systems across any hybrid environment with services such as consulting, mainframe and application modernization, public cloud migration and cloud-native development. With certified experts in AWS, Azure and Google Cloud and recognized as Microsoft Datacenter Transformation Partner of the Year, Ensono has over 3500+ associates globally and is headquartered in greater Chicago.

We care about your success, offering comprehensive strategic and managed services for mission-critical applications. Our Advisory and Consulting services can help upfront with an application strategy or find the right places for your applications – whether it’s public, multi or hybrid cloud, or mainframe. And because we span across all mission-critical platforms, we can meet you wherever you are in your digital transformation journey, with 24/7 support when you need it. We are your relentless ally, flexing with you when challenges emerge so you don’t feel stuck in place. With cross-platform certifications and decades of experience, our technology experts have become an extension of your team so you’re continuously innovating – doing more with less while remaining secure. And that’s just the beginning.

Job Description: Business Intelligence Manager

Position Summary

The Business Intelligence (BI) Manager is responsible for leading the strategy, development, and operational excellence of enterprise analytics, reporting, and AI-enabled insights. This role oversees BI platforms, data visualization, and analytical solutions—including the responsible application of AI and advanced analytics—to enable data-driven decision-making across the organization. The BI Manager partners with business leaders, data engineering, AI governance, and security teams to ensure insights are accurate, explainable, secure, and aligned with business priorities.

Key Responsibilities

Strategy & Leadership

• Define and execute the enterprise BI and analytics strategy, including AI-enabled insights, aligned to business objectives and data governance standards
• Lead, mentor, and develop a team of BI developers, analysts, and analytics engineers
• Establish prioritization frameworks for analytics and AI-driven use cases
• Serve as a trusted advisor to business and executive stakeholders on analytics and AI capabilities

Analytics, AI & Insights Delivery

• Oversee the design, development, and maintenance of dashboards, reports, predictive models, and AI-assisted analytics products
• Enable the use of AI for trend analysis, forecasting, anomaly detection, and insight generation using governed enterprise data
• Ensure consistent semantic models, metrics definitions, and explainable outputs across BI and AI solutions
• Partner with data science and data engineering teams to operationalize AI outputs into BI platforms and business workflows
• Drive adoption of AI-assisted self-service analytics while maintaining data quality, lineage, and control

Platforms & Technology

• Own BI and analytics platforms (e.g., Power BI, Tableau, Looker) and their integration with AI and cloud data platforms
• Support AI-enabled features such as natural language query, automated insights, and embedded copilots where appropriate
• Define standards for dashboard design, AI explainability, usability, accessibility, and performance
• Lead platform optimization, licensing strategy, and cost management across BI and AI tooling

AI Governance, Security & Responsible Use

• Ensure AI use of data complies with enterprise AI governance, security, privacy, and ethical standards
• Partner with security, risk, and compliance teams to enforce access controls, sensitivity labeling, and usage monitoring
• Support model transparency, bias awareness, and auditability for AI-derived insights
• Maintain documentation for AI use cases, assumptions, and limitations

Data Governance & Quality

• Enforce data governance, certification, and lifecycle management for BI and AI assets
• Establish data quality and AI output validation processes
• Maintain business glossaries, metric definitions, and AI-enabled analytics documentation
• Support audit, compliance, and regulatory requirements related to analytics and AI

Stakeholder Engagement & Value Realization

• Translate business questions into analytics and AI use cases with measurable outcomes
• Enable business teams through training on BI tools, AI-assisted analytics, and responsible usage
• Measure and report on analytics and AI value realization, adoption, and business impact

Required Qualifications

• Bachelor’s degree in information systems, Computer Science, Data Analytics, Business, or related field
• 7–10 years of experience in business intelligence, analytics, or data platforms
• 3+ years of experience leading BI or analytics teams
• Strong expertise in BI platforms (Power BI preferred) and enterprise data architectures
• Demonstrated understanding of AI-assisted analytics and advanced analytical techniques
• Proven experience partnering with senior business stakeholders
• Strong understanding of data governance, security, and compliance principles

Preferred Qualifications

• Experience in managed services, consulting, or multi-client environments
• Familiarity with cloud data platforms (e.g., Snowflake, Azure Synapse, BigQuery)
• Exposure to AI platforms, embedded analytics, or analytics copilots
• Knowledge of data cataloging, lineage, and governance tools (e.g., Microsoft Purview or equivalents)
• Experience operationalizing AI insights within enterprise reporting environments

Key Competencies

• Strategic analytics and AI thinking with operational execution
• People leadership and talent development
• Executive communication and stakeholder influence
• Data ethics, governance, and risk awareness
• Continuous improvement and innovation mindset

Success Measures

• Increased adoption of BI and AI-enabled insights across the enterprise
• Consistent, trusted, and explainable KPIs and AI outputs
• Improved time-to-insight and decision quality
• Strong governance, security, and audit outcomes
• Demonstrated business value from analytics and AI initiatives

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request.

Job Description:  Data Analyst (Power BI, ServiceNow, Snowflake, Excel)

ABOUT US

Ensono is a hybrid IT services provider that sees a world in transformation. We understand the world of business has become more complex, layered, and interdependent because we’re enabling the IT infrastructure for that transformation. Our clients are some of the most innovative and forward-thinking companies in the world and we help keep their businesses thriving. With nearly 50 years of experience, we optimize and modernize IT infrastructure by amplifying the power of mainframes and mid-range servers with the agility of cloud. Check us out at www.ensono.com. 

Job Summary :
We are seeking a skilled Data Analyst with proven expertise in Power BI, ServiceNow, Snowflake, and Excel. The ideal candidate will be responsible for designing, developing, and maintaining dashboards and reports by integrating data from multiple sources, including Snowflake and ServiceNow. This role requires strong analytical skills, attention to detail, and the ability to translate business requirements into actionable insights.

Job Responsibilities:

• Design, develop, and maintain interactive dashboards and reports using Power BI.
• Integrate and analyze data from multiple sources, including Snowflake, ServiceNow, and Excel.
• Collaborate with business stakeholders to gather requirements and translate them into effective data visualizations and reporting solutions.
• Ensure data accuracy, consistency, and integrity across all reporting platforms.
• Optimize data models and queries for performance and scalability.
• Provide ad-hoc analysis and support to various business units as needed.
• Document data sources, data models, and reporting processes for knowledge sharing and compliance.

Mandatory Skills

• Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field.
• Proven experience in building dashboards and reports using Power BI.
• Hands-on experience with ServiceNow and Snowflake, including data extraction and integration.
• Strong proficiency in Excel, including advanced formulas, pivot tables, and data analysis tools.
• Experience working with large datasets and multiple data sources.
• Solid understanding of data modeling, ETL processes, and data warehousing concepts.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:

• Experience with other BI tools or programming languages (e.g., SQL, Python) is a plus.
• Knowledge of data governance, security, and compliance best practices.
• Experience in a hybrid cloud or enterprise IT environment.

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request.

About the role

We are seeking an accomplished Data Engineer to join our dynamic and rapidly expanding Tech Ops division. With significant projected growth, this is an opportunity to drive meaningful technical impact. In this role, you will work directly with customers, data vendors, and internal engineering teams to design, implement, and optimize complex data integration solutions within a modern, large‑scale cloud environment.

You will leverage advanced skills in distributed computing, data architecture, and cloud-native engineering to enable scalable, resilient, and high‑performance data ingestion and transformation pipelines. As a trusted technical advisor, you will guide customers in adopting Abacus’s core data management platform and ensure high-quality, compliant data operations across the lifecycle.

Your day to day

• Architect, design, and implement high-volume batch and real-time data pipelines using PySpark, SparkSQL, Databricks Workflows, and distributed processing frameworks.
• Build end‑to‑end ingestion frameworks integrating with Databricks, Snowflake, AWS services (S3, SQS, Lambda), and vendor data APIs, ensuring data quality, lineage, and schema evolution.
• Develop data modeling frameworks, including star/snowflake schemas and optimization techniques for analytical workloads on cloud data warehouses.
• Lead technical solution design for health plan clients, creating highly available, fault-tolerant architectures across multi-account AWS environments.
• Translate complex business requirements into detailed technical specifications, engineering artifacts, and reusable components.
• Implement security automation, including RBAC, encryption at rest/in transit, PHI handling, tokenization, auditing, and compliance with HIPAA and SOC 2 frameworks.
• Establish and enforce data engineering best practices, such as CI/CD for data pipelines, code versioning, automated testing, orchestration, logging, and observability patterns.
• Conduct performance profiling and optimize compute costs, cluster configurations, partitions, indexing, and caching strategies across Databricks and Snowflake environments.
• Produce high-quality technical documentation including runbooks, architecture diagrams, and operational standards.
• Mentor junior engineers through technical reviews, coaching, and training sessions for both internal teams and clients.

What you bring to the team

• Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field.
• 7+ years of hands‑on experience as a Data Engineer working with large‑scale, distributed data processing systems in modern cloud environments.
• Working knowledge of U.S. healthcare data domains—including claims, eligibility, and provider datasets—and experience applying this knowledge to complex ingestion and transformation workflows.
• Strong ability to communicate complex technical concepts clearly across both technical and non‑technical stakeholders.
• Expert‑level proficiency in Python, SQL, and PySpark, including developing distributed data transformations and performance‑optimized queries.
• Demonstrated experience designing, building, and operating production‑grade ETL/ELT pipelines using Databricks, Airflow, or similar orchestration and workflow automation tools.
• Proven experience architecting or operating large‑scale data platforms using dbt, Kafka, Delta Lake, and event‑driven/streaming architectures, within a cloud‑native data services or platform engineering environment—requiring specialized knowledge of distributed systems, scalable data pipelines, and cloud‑scale data processing.
• Experience working with structured and semi‑structured data formats such as Parquet, ORC, JSON, and Avro, including schema evolution and optimization techniques.
• Strong working knowledge of AWS data ecosystem components—including S3, SQS, Lambda, Glue, IAM—or equivalent cloud technologies supporting high‑volume data engineering workloads.
• Proficiency with Terraform, infrastructure‑as‑code methodologies, and modern CI/CD pipelines (e.g., GitLab) supporting automated deployment and versioning of data systems.
• Deep expertise in SQL and compute optimization strategies, including Z‑Ordering, clustering, partitioning, pruning, and caching for large‑scale analytical and operational workloads.
• Hands‑on experience with major cloud data warehouse platforms such as Snowflake (preferred), BigQuery, or Redshift, including performance tuning and data modeling for analytical environments.

What we would like to see but not required:

• Experience in large-scale healthcare or payer data environments.

What you’ll get in return :

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements :

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

About the role

We are seeking an accomplished Data Engineer to join our dynamic and rapidly expanding Tech Ops division. With significant projected growth, this is an opportunity to drive meaningful technical impact. In this role, you will work directly with customers, data vendors, and internal engineering teams to design, implement, and optimize complex data integration solutions within a modern, large‑scale cloud environment.

You will leverage advanced skills in distributed computing, data architecture, and cloud-native engineering to enable scalable, resilient, and high‑performance data ingestion and transformation pipelines. As a trusted technical advisor, you will guide customers in adopting Abacus’s core data management platform and ensure high-quality, compliant data operations across the lifecycle.

Your day to day :

• Architect, design, and implement high-volume batch and real-time data pipelines using PySpark, SparkSQL, Databricks Workflows, and distributed processing frameworks.
• Build end‑to‑end ingestion frameworks integrating with Databricks, Snowflake, AWS services (S3, SQS, Lambda), and vendor data APIs, ensuring data quality, lineage, and schema evolution.
• Develop data modeling frameworks, including star/snowflake schemas and optimization techniques for analytical workloads on cloud data warehouses.
• Lead technical solution design for health plan clients, creating highly available, fault-tolerant architectures across multi-account AWS environments.
• Translate complex business requirements into detailed technical specifications, engineering artifacts, and reusable components.
• Implement security automation, including RBAC, encryption at rest/in transit, PHI handling, tokenization, auditing, and compliance with HIPAA and SOC 2 frameworks.
• Establish and enforce data engineering best practices, such as CI/CD for data pipelines, code versioning, automated testing, orchestration, logging, and observability patterns.
• Conduct performance profiling and optimize compute costs, cluster configurations, partitions, indexing, and caching strategies across Databricks and Snowflake environments.
• Produce high-quality technical documentation including runbooks, architecture diagrams, and operational standards.
• Mentor junior engineers through technical reviews, coaching, and training sessions for both internal teams and clients.

What you bring to the team :

• Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field.
• 5+ years of hands‑on experience as a Data Engineer working with large‑scale, distributed data processing systems in modern cloud environments.
• Working knowledge of U.S. healthcare data domains—including claims, eligibility, and provider datasets—and experience applying this knowledge to complex ingestion and transformation workflows.
• Strong ability to communicate complex technical concepts clearly across both technical and non‑technical stakeholders.
• Expert‑level proficiency in Python, SQL, and PySpark, including developing distributed data transformations and performance‑optimized queries.
• Demonstrated experience designing, building, and operating production‑grade ETL/ELT pipelines using Databricks, Airflow, or similar orchestration and workflow automation tools.
• Proven experience architecting or operating large‑scale data platforms using dbt, Kafka, Delta Lake, and event‑driven/streaming architectures, within a cloud‑native data services or platform engineering environment—requiring specialized knowledge of distributed systems, scalable data pipelines, and cloud‑scale data processing.
• Experience working with structured and semi‑structured data formats such as Parquet, ORC, JSON, and Avro, including schema evolution and optimization techniques.
• Strong working knowledge of AWS data ecosystem components—including S3, SQS, Lambda, Glue, IAM—or equivalent cloud technologies supporting high‑volume data engineering workloads.
• Proficiency with Terraform, infrastructure‑as‑code methodologies, and modern CI/CD pipelines (e.g., GitLab) supporting automated deployment and versioning of data systems.
• Deep expertise in SQL and compute optimization strategies, including Z‑Ordering, clustering, partitioning, pruning, and caching for large‑scale analytical and operational workloads.
• Hands‑on experience with major cloud data warehouse platforms such as Snowflake (preferred), BigQuery, or Redshift, including performance tuning and data modeling for analytical environments.

What we would like to see but not required:

• Experience in large-scale healthcare or payer data environments.

What you’ll get in return :

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements :

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

Strategic Project Lead / Delivery Manager 

Data Annotation & AI Delivery

8+ Years of Experience

Position Overview

We are looking for a seasoned Delivery Manager (8+ years of experience) to lead large-scale data annotation and curation projects in support of cutting-edge LLM and multimodal AI research. You will oversee end-to-end delivery for projects with 100+ team members, ensure world-class data quality, and drive process and tooling innovation in collaboration with AI researchers and cross-functional teams.

This role is ideal for someone who combines deep technical expertise, proven leadership in managing large teams, and a passion for advancing AI/ML innovation. Given that our key customers operate in the data analytics, data engineering, and Business Intelligence (BI) space, the ideal candidate will bring hands-on leadership experience with platforms such as Databricks and Snowflake, enabling them to deeply understand customer domains, speak their language, and deliver annotation outcomes that are contextually relevant and technically sound.

Primary Responsibilities

1. Team Leadership & Development

• Lead, mentor, and grow large-scale teams of annotators and trainers.
• Drive performance management, career development, and targeted training.
• Foster a culture of excellence, ownership, and continuous learning.
• Design and implement motivation strategies (including gamification) to boost engagement and reward top performers.

1. Project Management & Coordination

• Define and manage project scope, objectives, timelines, and quality metrics.
• Align with cross-functional stakeholders on goals and deliverables.
• Proactively identify and resolve delivery risks, blockers, and dependencies.
• Provide clear and consistent reporting on progress, challenges, and solutions.

1. Data Quality & Integrity

• Own quality control and data integrity across the annotation lifecycle.
• Analyze datasets to identify trends, anomalies, and insights for improvement.
• Implement best practices for annotation, evaluation, and data curation.
• Share learnings and continuously improve quality processes.

1. Technical Collaboration & Innovation

• Partner with engineering and research teams to optimize internal tooling.
• Stay ahead of emerging trends in AI, ML, and multimodal processing.
• Champion innovations that reduce task completion times and improve efficiency.
• Maintain clear and scalable documentation for processes and training.

1. Customer & Domain Engagement

• Serve as a domain-knowledgeable point of contact for customers operating in data engineering, analytics, and BI environments.
• Leverage hands-on experience with platforms like Databricks and Snowflake to understand customer data workflows, terminology, and quality expectations.
• Translate customer-specific data engineering and BI contexts into clear, actionable annotation guidelines and quality benchmarks for delivery teams.
• Collaborate with customers to define annotation taxonomies and evaluation criteria that align with their data pipeline and analytics use cases.

Required Skills & Qualifications

• 10+ years of experience in engineering, program management, or delivery of large-scale projects.
• Proven ability to lead and scale large teams (100+ members) with measurable impact.
• Strong technical grounding in AI/ML, data annotation, and multimodal systems.
• Hands-on leadership experience in data analytics, data engineering, or BI domains, with working knowledge of platforms such as Databricks and/or Snowflake (architecture, pipelines, data modeling, and production workflows).
• Familiarity with the modern data stack including ETL/ELT pipelines, data warehouses, data lakes, and BI tools (Power BI, Tableau, Looker, or similar).
• Ability to translate complex data engineering and analytics concepts into annotation frameworks, quality standards, and training materials.
• Proficiency in Python (preferred) or Swift for data analysis and automation.
• Strong mathematical and analytical skills for data-driven problem solving.
• Experience in data curation, annotation pipelines, and quality control.
• Excellent communication and stakeholder management skills.
• Track record of driving high-quality outputs under tight deadlines.

Preferred Skills & Qualifications

• Advanced degree in Computer Science, Data Science, AI, or related fields.
• Experience applying gamification to workforce engagement.
• Familiarity with modern project management tools & methodologies.
• Exposure to state-of-the-art multimodal AI technologies.
• Prior experience managing annotation or data labeling projects for customers in the data engineering, analytics, or BI space.
• Familiarity with SQL at an advanced level and data orchestration tools such as Apache Airflow, dbt, or Prefect.
• Certifications in Databricks (e.g., Data Engineer Associate) or Snowflake (e.g., SnowPro Core) are a plus.

About the Role

We are looking for a Data Modeler to join a global data modeling team responsible for transforming business requirements into conceptual and logical data models. This role requires understanding of healthcare data domains (Claims, Membership, Enrollment, Provider, Billing, Interoperability - FHIR, HL7, ADT, CCDA, etc.) and experience in enterprise data modeling best practices.

The Data Modeler will work closely with the Director of Data Modeling and Senior Data Modelers to adhere to data modeling standards, metadata governance, and follow data architecture strategies that align with business and technical needs. They will also collaborate with business analysts, product analysts, client implementation teams, and data governance teams to ensure models support operational and analytical use cases, high performance, and data integrity.

This is an exciting opportunity for a data modeler with experience in Databricks, Snowflake, schema evolution, and modern data engineering practices to shape the future of healthcare data platforms.

Your day to day

Identify and define requirements for canonical data models as well as consumption use cases required by enterprise healthcare customers. Your activities will include:

• Perform data profiling analysis.
• Use SQL, data modeling and data integrity principles.
• Build conceptual and logical data models aligned with enterprise architecture, business requirements and industry standards.
• Follow data modeling best practices, including schema evolution, lossless data modeling, metadata management, and data versioning.
• Use enterprise data modeling tools (Erwin, ER/Studio, DBT, or similar).
• Ensure models support analytical (data science, actuarial, reporting) and operational (Claims, Care Management) use cases.
• Maintain metadata, business glossary, entity relationship diagrams and data dictionaries to support data lineage and governance.
• Partner with Client Management, Product, and Business Analyst teams to understand client needs, assess data model impact, and ensure data models and related artifacts meet or exceed expectations.
• Work with client management teams to provide support and data model expertise during client implementation.

What you bring to the team

• 2+ years of experience in data modeling, enterprise data architecture, and cloud-based data engineering.
• Expertise in enterprise data modeling tools (Erwin, ER/Studio, DBSchema, or similar).
• NoSQL data model experience.
• Strong hands-on experience with cloud data platforms (Databricks, Snowflake) and data lakehouse architectures.
• Deep understanding of healthcare data models across Core Payer (Claims, Membership, Enrollment, Provider, Billing, Premium) and Clinical Interoperability (FHIR, HL7, ADT, CCDA, etc.) domains.
• Experience with schema evolution, lossless data modeling, and data versioning strategies.
• Strong background in SQL, data profiling, and metadata creation and maintenance.
• Ability to learn from senior modelers, enforce modeling best practices, and drive adoption of enterprise data standards.
• Excellent collaboration skills to work with data architects, engineers, and client implementation teams.

What we would like to see, but not required

• Healthcare reporting experience.
• Experience with OBT, data lakehouse, and metadata management frameworks.
• Familiarity with business intelligence (BI) and reporting solutions on modern cloud data warehouses.
• Knowledge of APIs, SDKs, and data distribution frameworks for enabling real-time and batch data access.
• Experience with data governance, security, and regulatory compliance in healthcare data management.

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements 

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

About the Role

As a Product Owner in the AI Solutions team, you will play a pivotal role in translating strategic direction into actionable product increments. You will work closely with engineering teams in India, Nepal, and the US to ensure that our generative AI platform delivers measurable value to healthcare payers, with a focus on key business cases (i.e. Payment Integrity) and unstructured data solutions. This is an execution-focused role, responsible for the “how” of delivery and sprint cadence, while closely partnering with the Senior Product Manager who drives the “what” and “why.”

Your day to day

• Create and maintain a structured product backlog for GenAI solutions, ensuring clear problem statements, acceptance criteria, and definitions of done.
• Own GenAI stories in Jira, maintaining distinct boards, sprint cadences, and capacity visibility as defined by team processes.
• Break down high-level product and governance objectives into actionable user stories and tasks.
• Lead grooming sessions with engineers, data modeling, stakeholders, and others to clarify scope, estimate effort, and prioritize work based on business value and readiness.
• Drive sprint planning, coordinate daily stand-ups for the AI team, and proactively remove blockers to ensure commitments are met and deliverables align with the roadmap.
• Define and execute acceptance testing for completed features, verifying that data traceability, outputs, and governance capabilities meet requirements.
• Coordinate with security and compliance to ensure features meet auditability, observability, and hallucination control guardrails.
• Prepare release notes, user guides, and internal training materials; support deployments with DevOps and ensure client-facing documentation reflects new capabilities.
• Act as a liaison between product leadership, engineering, data modeling, and platform teams; communicate progress and issues clearly.
• Track and report on key SDLC metrics (burndown, velocity, throughput, capacity) and maintain a knowledge base of FAQs, lessons learned, and key decisions.
• Champion continuous improvement by applying agile best practices, identifying process bottlenecks, and leveraging AI tools for backlog management and documentation.

What you bring to the team

• 3+ years as a Product Owner or similar role in a data-driven environment, ideally supporting AI, data platforms, or healthcare products.
• Experience working with distributed engineering teams, preferably across US and India time zones, and familiarity with Scrum/Agile methodologies and tools (e.g., Jira, Confluence).
• Demonstrated ability to translate strategic product direction into actionable backlog items, groom stories with engineers, and manage sprint cadence.
• Strong understanding of the software development lifecycle (SDLC) and release management, with the ability to coordinate acceptance testing and quality assurance.
• Exposure to healthcare data (claims, clinical, or payer workflows) and AI/ML technologies.
• Excellent communication and organizational skills; comfortable interfacing with technical and non-technical stakeholders across product, engineering, security, and sales.
• Fluency in English (required for India-based roles).

What we would like to see, but not required

• Experience with healthcare interoperability standards (e.g., HL7 V2, FHIR, X12).
• Experience with cloud technologies (AWS, Azure, GCP), Databricks, or Snowflake.
• Prior work in a high-growth, fast-paced startup environment.

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements 

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

Overview of Role

We are seeking a highly skilled Cloud Data Engineer to join our Managed Services team. In this role, you will be the technical backbone for our enterprise clients, responsible for designing, building, and maintaining high-performance data platforms using Snowflake and Azure Databricks. You will act as a trusted advisor, ensuring that our customers' data ecosystems are scalable, secure, and cost-optimized across multi-cloud environments.

Key Responsibilities

• Platform Engineering: Design and implement end-to-end data lakehouse architectures using Azure Databricks (Delta Lake),Azure HDInsights and Snowflake Cloud Data Warehouse.
• Pipeline Development: Build scalable, metadata-driven ETL/ELT pipelines using Azure Data Factory (ADF), PySpark, and SnowSQL, including ingestion workflows from HDInsight-managed Hadoop and Kafka clusters.
• Managed Services Support: Provide Tier-3 technical support for client environments, including performance tuning, complex bug fixes, and architectural optimizations.
• Multi-Cloud Integration: Oversee data movement and integration strategies across Azure, AWS, and GCP to ensure seamless "Data Everywhere" capabilities for clients.
• Cost & Performance Governance: Monitor and optimize Snowflake credit consumption and Databricks cluster usage to ensure clients receive maximum ROI.
• Security & Compliance: Implement enterprise-grade security including Role-Based Access Control (RBAC), Row-Level Security (RLS), and data masking (Dynamic Data Masking in Snowflake / Unity Catalog in Databricks).

Required Technical Skillset

Experience & Qualifications

• Experience: 5+ years in Data Engineering, with at least 3 years of hands-on experience in both Snowflake and Databricks.
• Managed Services Background: Proven experience supporting external customers with strict SLAs and complex governance requirements.
• Multi-Cloud (Plus): Direct experience deploying Snowflake or Databricks on AWS or GCP is highly desirable.
• Certifications (Preferred): * SnowPro Core or Advanced Architect
• Databricks Certified Data Engineer Professional
• Microsoft Certified: Azure Data Engineer Associate (DP-203)

Overview of 66degrees

66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.

At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.

Overview of Role

66degrees Software Engineers within the Innovation team are catalysts for future growth. You will leverage your strong development foundation to explore emerging technologies, identify new opportunities, and rapidly prototype high-impact "accelerators" and minimum viable products (MVPs) for our clients. Partnering with cross-functional experts in AI, data, and cloud engineering, you will move beyond mission-critical application delivery to actively shape the next generation of intelligent enterprise solutions. This role is for a highly motivated and exploratory individual passionate about turning complex challenges into clear, quantifiable outcomes and driving new value for the business.

Responsibilities

• Design, develop, and maintain end-to-end full stack applications, combining scalable backend systems with intuitive frontend interfaces.
• Build and manage data-heavy backend systems, with a strong focus on data engineering, data warehousing, and data modeling.
• Develop and maintain ETL/ELT pipelines using Python to ingest and process data from structured and unstructured sources into cloud data platforms.
• Create responsive and high-performance user interfaces using React.js, enabling rich data visualizations and seamless user interactions.
• Work with Big Data technologies and cloud data warehouses (e.g., BigQuery, Snowflake) to ensure efficient data processing at scale.
• Leverage cloud platforms (GCP) and services like Cloud Run, Cloud Functions, or equivalent to build and deploy scalable microservices.
• Collaborate with cross-functional teams (AI, Data, Cloud, Product) to translate business requirements into scalable technical solutions.
• Implement CI/CD pipelines, automated testing (TDD), and best engineering practices to ensure high-quality and reliable software delivery.
• Experiment with and implement AI/ML and Generative AI use cases, contributing to rapid prototyping of MVPs and accelerators.
• Continuously explore emerging technologies and contribute to innovation-driven product development within the organization. 

Qualifications

• 3–8 years of experience in full stack development with strong expertise in Python (backend) and React.js (frontend).
• Hands-on experience in Data Engineering, Data Warehousing, and processing large-scale datasets (e.g., BigQuery, Snowflake).
• Strong understanding of ETL/ELT pipelines, data modeling, and data architecture principles.
• Experience working with cloud platforms (GCP preferred, AWS/Azure acceptable) and deploying scalable applications.
• Familiarity with Big Data ecosystems and distributed data processing frameworks is a plus.
• Working knowledge of REST APIs, microservices architecture, and backend system design.
• Proficiency with Git, CI/CD pipelines, and Agile/Scrum methodologies.
• Exposure to or strong interest in AI/ML and Generative AI technologies (LLMs, prompt engineering, etc.) is highly desirable.
• Strong problem-solving skills and analytical thinking, with the ability to work on ambiguous and evolving requirements.
• Excellent communication and collaboration skills, with the ability to bridge technical and business perspectives.
• Demonstrated learning mindset, adaptability, and curiosity, with exposure to diverse technologies or domains being a plus.

We value candidates who demonstrate a balance of technical depth (data/backend) and breadth (frontend, AI, product thinking), along with a strong attitude and willingness to learn.

66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.

What’s in it for you?

Opportunity To Unlock Your Creativity
Think of all the times you were held back from trying new ideas because you were boxed in by bureaucratic legacy processes or old school tactics. Having a growth mindset is deeply ingrained into our company culture since day 1 so Fictiv is an environment where you have the creative liberty and support of the team to try big bold ideas to achieve our sales and customer goals.

Opportunity To Grow Your Career
At Fictiv, you'll be surrounded by supportive teammates who will push you to be your best through their curiosity and passion.

Impact In This Role

The Data Intelligence team creates reports and dashboards to provide meaningful insights from the data warehouse. This team works closely with cross-functional stakeholders and leverages multiple Business Intelligence (BI) technologies to enable data-driven decision-making across the organization.
As a Senior Data Engineer on the Data Intelligence team, you will play a key role in designing, managing, and evolving Fictiv’s reporting data warehouse and semantic layer. You will partner closely with the Data Intelligence Manager, Data Engineers, Data Analysts, and Product Managers to ensure replicated data from production systems is transformed into scalable, trusted semantic data models that power consistent, accurate self-service reporting. Acting as a bridge between business and technology, you will translate analytical requirements into well-structured data models and transformations that enable reliable dashboards and insights across multiple domains.
In addition, you will collaborate with Infrastructure, Software, and Systems Engineering teams to strengthen database design and query efficiency across the broader data ecosystem. You will provide hands-on guidance on optimal table structures, indexing and clustering approaches, and SQL query patterns that improve performance and scalability. By proactively identifying bottlenecks and recommending architectural and modeling improvements, you will help ensure that both analytical and operational workloads are efficient, maintainable, and aligned with best practices.
This is a hands-on role responsible for leading the design, transformation, implementation, and operation of data solutions across disparate source systems—driving best practices in data modeling, semantic layer design, performance optimization, documentation, and governance. You will plan, design, and operate data pipelines and models using Agile methodologies to deliver high-quality, maintainable, and secure data assets

You will report to the Data Analytics Manager.

What You’ll Be Doing

• Design efficient, scalable, and maintainable semantic data models that align with business logic and enable intuitive self-service analytics and reporting across multiple domains.
  
• Build, maintain, and optimize data transformations and pipelines that transform replicated production data into trusted, analytics-ready models.
  
• Collaborate with stakeholders across data, engineering, product, and business teams to resolve data-related issues, clarify requirements, and align on solution design.
  
• Provide technical leadership and guidance to Software Engineers and Data Engineers on query performance, optimization techniques, and efficient data access patterns.
  
• Drive ongoing improvement of database and table structures, partnering with engineers to validate and refine table design, joins, partitioning/clustering, and other performance-related considerations.
  
• Review and advise on SQL query design for both application and analytics use cases, helping teams design queries that are performant, maintainable, and cost-effective.
  
• Analyze performance metrics and execution plans to identify bottlenecks in data models, queries, and transformations, and recommend practical tuning and refactoring opportunities.
  
• Follow and contribute to SQL coding standards, data modeling best practices, change control procedures, and data warehouse governance processes.
  
• Develop and maintain data flow diagrams, data dictionaries, and schema documentation with a focus on clarity, consistency, and enterprise data management.
  
• Understand and document end-to-end data flows and dependencies from production systems through the ELT pipeline into Snowflake and downstream BI tools, supporting delivery, release, and change management.
  
• Execute and lead data design sessions and technical reviews to gather requirements, validate modeling approaches, and communicate design decisions and trade-offs to stakeholders.
  
• Research emerging technologies, patterns, and tools related to Snowflake, dbt, SQL optimization, and semantic modeling, and recommend enhancements to Fictiv’s data platform and practices.
  
• Help set broad direction and vision for the reporting data platform architecture, influencing data engineering, analytics, and application data design strategy.
  
• Partner with internal and external teams for knowledge transfer and smooth handoff in advance of new feature launches or reporting changes.
  
• Work effectively with remote and cross-functional teams across time zones, fostering strong communication and collaboration.
  
• Proven experience working with large and complex datasets and comfort writing advanced SQL queries or leveraging BI tools for analysis and transformation.
  
• Deep understanding of data and analytics architecture, including data warehousing concepts, semantic data modeling, and data integration best practices, with a strong focus on Snowflake and ELT pipelines.
  
• Strong knowledge of SQL and BI concepts, including dimensional modeling, data warehouse design, and dashboarding; ability to translate analytical needs into robust semantic models.
  
• Demonstrated ability to guide and influence database and schema optimization, including improving query performance, advising on efficient access patterns, and ensuring well-structured data that support scalable workloads.
  
• Experience mentoring and guiding Data Engineers and Software Engineers to develop robust, scalable, and maintainable data models, queries, and database structures.
  
• Ability to design and maintain data transformation and workload management processes, including job orchestration, dependency handling, scheduling, and metadata management.
  
• Excellent analytical skills and experience working with both structured and semi-structured data, from exploration through to production-ready models.
  
• Ability to evaluate new tools, database features, and methodologies relative to the existing data stack and propose detailed, pragmatic recommendations for improvement.
  
• Strong ability to perform root cause analysis on data quality, performance, and process issues to identify inefficiencies, ensure data integrity, and deliver actionable insights.
  
• Clear and effective communicator—capable of providing business context for engineers and technical context for non-engineers, especially around trade-offs in model and schema design.
  
• Confident presenting to audiences with mixed levels of technical understanding and experience, including walkthroughs of models, schemas, and query patterns.
  
• Curious, resourceful, and adaptable; comfortable navigating ambiguity, learning new technologies (e.g., new Snowflake/dbt features), and evolving processes to improve outcomes.

Desired Traits

• B.S. in Data Science, Computer Science, Information Systems, or a related field.
  
• 15+ years of experience as a Data Engineer, designing and maintaining large-scale data systems, building scalable data models, and delivering analytical solutions through modern BI and data pipeline tools.
  
• 10+ years of experience working with modern cloud and on-premise database platforms—such as Snowflake, AWS Redshift, Azure Synapse, Google BigQuery, or traditional RDBMS systems (e.g., PostgreSQL, MySQL, SQL Server, Oracle)—with a strong focus on schema design, query performance, execution plan analysis, and scalable data access patterns, rather than day-to-day operational administration.
  
• 8+ years of experience developing and maintaining data transformation workflows using dbt or a similar tool, with expertise in model design, testing, documentation, environment management, deployment automation, and enforcing version control and development best practices.
  
• Demonstrated expertise working with complex datasets and advanced SQL, including multi-level CTEs, window functions, and recursive queries, with an emphasis on performance and readability.
  
• Experience with BI platforms such as Heap, Sigma Computing, or similar technologies (e.g., Tableau, Looker, or QuickSight), and how they interact with warehouse models.
  
• Strong knowledge of BI and analytical concepts, including regressions, recursion, sliding window functions, financial metrics, marketing funnel metrics, and logistics and fulfillment analytics.
  
• Experience building and maintaining processes that support data transformation, data structures, metadata management, dependency handling, and workload optimization in a modern ELT/warehouse environment.
  
• Proven ability to lead and coordinate cross-functional initiatives, including partnering with Software Engineers to refine schemas and queries, conducting interviews, and performing analyses to develop business cases for projects and improvements.
  
• Experience delivering training sessions and technical enablement for internal and external stakeholders, especially around data models, schemas, and query best practices during system and process rollouts.
  
• Excellent communication and collaboration skills, with the ability to translate complex technical concepts (e.g., query plans, indexing/clustering trade-offs, modeling decisions) for non-technical audiences.
  
• Demonstrated leadership and mentoring abilities, fostering technical excellence and knowledge sharing across data and engineering teams, particularly in areas of semantic modeling, SQL craftsmanship, and performance optimization.

Perks and Benefits

• Medicliam
• Annual Paid holidays
• Gratuity
• Provident Fund 
  And much, much more!

Interested in learning more?  We look forward to hearing from you soon.

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

Value Engineer - Pune

The Role

We are looking for a Value Engineer to help scale Showpad’s first formal Value Engineering function. Your mission is to work in partnership with stakeholders listed able to prove the tangible ROI of our software for as many customers as possible. You will be responsible for distilling complex data into compelling financial narratives that demonstrate how Showpad drives revenue, saves time, and develops talent for our 1,400+ global customers.

Reporting to the VP of Revenue Enablement, you will be the bridge between raw data and executive-level business cases, helping our account teams turn customer performance into a quantitative success story.

Key Responsibilities

• Master the Showpad Value Realization Methodology: A framework Showpad GTM is enabled on to empower our ICs to diagnose customer maturity, identify success metrics, and build plans to get high value accounts towards ROI. This methodology will be foundational for the success of the Value Engineering
• Evolve the Value Engineering Blueprint: In partnership with the Revenue Enablement key stakeholders, you will help drive the strategy to scale Showpad’s global Value Engineering function from the ground up by being the analytical and operational backbone to the function.
• Manage the Value Assessment request funnel: In partnership with key Enablement stakeholders, manage the queue of requests for Value Engineering support, based on specific customer and account requirements/qualification. Produce each Value Assessment in accordance with the SLAs committed to Showpad GTM team members.
• Architect ROI Narratives: Translate Showpad platform data and customer-specific performance metrics into high-impact ROI narratives that prove the value of enablement and deliver them in a customer facing capacity as needed
• Operationalize Scalability: Work cross functionally with Enablement and Product Marketing to maintain self-service ROI calculators and value templates
• Full-Lifecycle Value Realization: Support the customer journey by conducting "Value Realization" assessments on an ongoing basis (vs one time events) for specific accounts to ensure customers are hitting KPIs well before the renewal
• Data Translation: Decipher complex, large-scale data sets and transform them into clear, visual, and persuasive narratives for both internal and external
• Strategic Seller Support: Work directly with Account Executives and Customer Success Managers on the value assessment plan and advise Showpad account teams on delivering results to C-suite audiences.
• Technical Subject Matter Expert: Act as a customer-facing expert to answer deep-dive technical questions regarding value assessment methodology and data integrity.
• Product Feedback Loop: Serve as a strategic partner to Product and Engineering, providing data-backed insights on which features are driving the highest measurable Advocate for insights and dashboards that you believe should be in the Product as a result of these findings.
• Fuel Advocacy: Collaborate with Customer Marketing to turn data-driven findings into powerful impact-based case studies and testimonials that fuel the advocacy funnel.

Qualifications

• Data Expertise: Deep background in data You are comfortable diving into large, raw data sets and distilling them into actionable business insights.
• The Track Record: Minimum 2+ years of relevant experience in Value Engineering, GTM Strategy, or a similar data-heavy revenue role.
• The Tech Stack: Proficiency with AWS ǪuickSight, Snowflake, and advanced Excel.
• Enablement Fluency: Familiarity with the Enablement landscape, Sales Tech, or Learning Management Systems (LMS).
• Executive Presence: Ability to remain composed and authoritative when defending complex financial models and ROI claims under scrutiny from executive stakeholders.
• The "Builder" Spirit: A proven track record of designing scalable solutions and a comfort with the ambiguity of building a department from the ground up.
• Collaborator Extraordinaire: This role is highly cross functional and will not own the strategy for the Value engineering function We are looking for a team player who can partner with key stakeholders to scale the Value Engineering function.
• Customer Centricity: A passion for proving Showpad ROI as well as measurable business results coming from Sales, Enablement and Marketing for our customers. Make our customers look great.

Business Overview 

IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). IPG Mediabrands manages over $47 billion in marketing investment globally on behalf of its clients across its full-service agency networks UM, Initiative and Mediahub and through its award-winning specialty business units Healix, Kinesso, MAGNA, Mediabrands Content Studio, Orion Holdings, Rapport, and the IPG Media Lab. IPG Mediabrands clients include many of the world’s most recognizable and iconic brands from a broad portfolio of industry sectors including automotive, personal finance, consumer product goods (CPG), pharma, health and wellness, entertainment, financial services, energy, toys and gaming, direct to consumer and e-commerce, retail, hospitality, food and beverage, fashion and beauty. The company employs more than 18,000 diverse marketing communication professionals in more than 130 countries. Learn more at www.ipgmediabrands.com. 

Position Summary

We are looking for experienced Data Engineer to manage in-progress and upcoming data infrastructure projects. The candidate will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder using Python and data wrangler who enjoys optimizing data systems and building them from the ground up. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.

Responsibilities

• Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements using Python and SQL / AWS / Snowflakes.
• Identify, design, and implement internal process improvements through automating manual processes using Python, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL / AWS / Snowflakes technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
•  Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions. 
• Work with data and analytics experts to strive for greater functionality in our data systems

Required Skills & Experience

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. 
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. 
• Strong analytic skills related to working with unstructured datasets. 
• Build processes supporting data transformation, data structures, metadata, dependency and workload management. 
• A successful history of manipulating, processing and extracting value from large, disconnected datasets.

Desired Skills & Experience

• 3+ years of experience in a Python Scripting and Data specific role, with bachelor's degree. 
• Experience with data processing and cleaning libraries e.g. Pandas, numpy, etc., web scraping/ web crawling for automation of processes, API’s and how they work. 
• Debugging code if it fails and find the solution. Should have basic knowledge of SQL server job activity monitoring and of Snowflake. 
• Experience with relational SQL and NoSQL databases, including PostgreSQL and Cassandra. 
• Experience with most or all the following cloud services: AWS, Azure, Snowflake, Google Strong project management and organizational skills. 
• Experience supporting and working with cross-functional teams in a dynamic environment.

We See You  

At IPG Mediabrands, we are unified behind a commitment to fostering a culture of inclusion and belonging. Together, we shine through a set of shared values and behaviors. We take pride in our responsibility to our clients, communities, and to each other. We embrace differences and recognize the unique value that each of us brings to our community.  

We encourage you to apply, as unique backgrounds, perspectives, and lived experiences are welcomed.   

We See You at IPG Mediabrands. 

About IPG Mediabrands 

IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). IPG Mediabrands manages over $47 billion in marketing investment globally on behalf of its clients across its full-service agency networks UM, Initiative and Mediahub and through its award-winning specialty business units Healix, Kinesso, MAGNA, Mediabrands Content Studio, Orion Holdings, Rapport, and the IPG Media Lab. IPG Mediabrands clients include many of the world’s most recognizable and iconic brands from a broad portfolio of industry sectors including automotive, personal finance, consumer product goods (CPG), pharma, health and wellness, entertainment, financial services, energy, toys and gaming, direct to consumer and e-commerce, retail, hospitality, food and beverage, fashion and beauty. The company employs more than 18,000 diverse marketing communication professionals in more than 130 countries. Learn more at www.ipgmediabrands.com.  

Business Overview 

IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). IPG Mediabrands manages over $47 billion in marketing investment globally on behalf of its clients across its full-service agency networks UM, Initiative and Mediahub and through its award-winning specialty business units Healix, Kinesso, MAGNA, Mediabrands Content Studio, Orion Holdings, Rapport, and the IPG Media Lab. IPG Mediabrands clients include many of the world’s most recognizable and iconic brands from a broad portfolio of industry sectors including automotive, personal finance, consumer product goods (CPG), pharma, health and wellness, entertainment, financial services, energy, toys and gaming, direct to consumer and e-commerce, retail, hospitality, food and beverage, fashion and beauty. The company employs more than 18,000 diverse marketing communication professionals in more than 130 countries. Learn more at www.ipgmediabrands.com. 

Position Overview 

We are looking for a savvy Reporting and Analytics Manager to manage in-progress and upcoming data infrastructure projects. The candidate will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder using Python and data wrangler who enjoys optimizing data systems and building them from the ground up. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.

Responsibilities

Create and maintain optimal data pipeline architecture, assemble large, complex data setsthat meet functional / non-functional business requirements using Python and SQL / AWS / Snowflakes.

 • Identify, design, and implement internal process improvements through: automating manual processes using Python, optimizing data delivery, re-designing infrastructurefor greater scalability, etc.

• Build the infrastructure required for optimal extraction, transformation, and loading ofdata from a wide variety of data sources using SQL / AWS / Snowflakes technologies.

• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

• Work with stakeholders including the Executive, Product, Data and Design teams toassist with data-related technical issues and support their data infrastructure needs. 

• Keep our data separated and secure across national boundaries through multiple datacenters and AWS regions.

• Work with data and analytics experts to strive for greater functionality in our data systems.

Experience :- • 

6+ years of experience in a Python Scripting and Data specific role, with bachelor’s degree.

• Experience with data processing and cleaning libraries e.g. Pandas, numpy, etc., web scraping/ web crawling for automation of processes, API’s and how they work.

• Debugging code if it fails and find the solution. Should have basic knowledge of SQLserver job activity monitoring and also of Snowflake.

• Experience with relational SQL and NoSQL databases, including PostgreSQL and Cassandra.

• Experience with most or all of the following cloud services: AWS, Azure, Snowflake, Google 

We See You  

At IPG Mediabrands, we are unified behind a commitment to fostering a culture of inclusion and belonging. Together, we shine through a set of shared values and behaviors. We take pride in our responsibility to our clients, communities, and to each other. We embrace differences and recognize the unique value that each of us brings to our community.  

We encourage you to apply, as unique backgrounds, perspectives, and lived experiences are welcomed.   

We See You at IPG Mediabrands. 

About IPG Mediabrands 

IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). IPG Mediabrands manages over $47 billion in marketing investment globally on behalf of its clients across its full-service agency networks UM, Initiative and Mediahub and through its award-winning specialty business units Healix, Kinesso, MAGNA, Mediabrands Content Studio, Orion Holdings, Rapport, and the IPG Media Lab. IPG Mediabrands clients include many of the world’s most recognizable and iconic brands from a broad portfolio of industry sectors including automotive, personal finance, consumer product goods (CPG), pharma, health and wellness, entertainment, financial services, energy, toys and gaming, direct to consumer and e-commerce, retail, hospitality, food and beverage, fashion and beauty. The company employs more than 18,000 diverse marketing communication professionals in more than 130 countries. Learn more at www.ipgmediabrands.com.  

Senior Network Automation Engineer

Experience: 8+ years (6+ years Network Operations,4+ years Network Automation & SRE)

 About Us.

Ensono is a hybrid IT services provider that sees a world in transformation. We understand the world of business has become more complex, layered, and interdependent because we’re enabling the IT infrastructure for that transformation. Our clients are some of the most innovative and forward-thinking companies in the world and we help keep their businesses thriving. With nearly 50 years of experience, we optimize and modernize IT infrastructure by amplifying the power of mainframes and mid-range servers with the agility of cloud. Check us out at www.ensono.com. 

Job Role
The Senior Network Automation Engineer is responsible for designing, operating, and automating enterprise and data‑center network solutions to ensure high availability, reliability, and performance for Ensono’s clients. This role combines deep network engineering expertise with Site Reliability Engineering (SRE) practices to reduce manual work, improve resiliency, and meet service level objectives.

 Job Responsibilities
Design, develop, and maintain network automation using Ansible
Automate provisioning, configuration, and operational tasks across enterprise and cloud networks
Integrate automation with ITSM tools (e.g., ServiceNow) and databases (e.g.: SnowFlake)
Collaborate with clients, service owners, and engineering teams to deliver reliable solutions

Mandatory  Skills & Experience:
Strong understanding of Site Reliability Engineering (SRE) principles
6+ years of experience in network operations (routing, switching, TCP/IP)
4+ years of hands‑on network automation experience in production environments
Expertise with Cisco routing and switching, F5 load balancing, Palo Alto Firewalls
Strong coding/scripting skills using Ansible
Experience with monitoring, logging, and alerting tools

Experience with Python, Ansible
Experience with ServiceNow
Experience with SnowFlake database

Good to have Skills :

Strong Linux and cross‑domain troubleshooting skills
Relevant certifications (CCNP,PCNSE)

Shift Timing-1:30 PM to 10:30 PM

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request.

About HG Insights

Headquartered in Santa Barbara, California, HG Insights is the global leader in technology intelligence. We help the world’s most innovative companies accelerate their go-to-market efforts with precision through advanced data science methodologies and proprietary data assets. We offer a culture that blends innovation, collaboration, and growth, where each team member is empowered to make a measurable impact.

Role Overview

We are looking for a Staff/Senior Machine Learning Engineer to join our growing AI and Data Platform team in Pune, India. In this role, you will be responsible for designing, building, and scaling ML systems that power our core data intelligence products. You’ll work at the intersection of data engineering and machine learning, collaborating closely with data scientists, software engineers, and product teams to turn models and agents into robust, production-ready systems.

This is a high-impact role suited for someone who thrives on ownership, scalability, and deploying real-world ML and AI solutions at scale.

Key Responsibilities

ML & AI System Development

• Design and build end-to-end ML pipelines, from data ingestion and feature engineering to model training, serving, and monitoring.
• Productionize AI agents, including LLM-backed workflows, multi-step tool use, and API orchestration.
• Collaborate with data scientists to bring experimental models into stable, high-performing production systems.
  
  

MLOps & Infrastructure

• Implement and maintain MLOps workflows (CI/CD for ML), tracking experiments, managing model versions, and automating retraining.
• Set up observability for models and agents, including tracing, logging, latency/error tracking, and fallback logic.
• Ensure infrastructure supports scalability, performance, and compliance requirements.
  
  

Technical Leadership & Collaboration

• Lead technical architecture for key AI and ML systems, ensuring maintainability and extensibility.
• Partner with product and platform teams to translate business needs into reliable and performant ML solutions.
• Mentor junior engineers and help elevate technical practices across the engineering org.

Minimum Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 8+ years of industry experience, with at least 4+ years in ML engineering or MLOps.
• Strong programming skills in Python and experience with ML libraries such as PyTorch, TensorFlow, and scikit-learn.
• Experience deploying AI agents in production, including retrieval-augmented generation (RAG), multi-step reasoning, and tool-use orchestration.
• Familiarity with LangChain, LlamaIndex, Haystack, or similar frameworks for agent development.
• Hands-on with LLMs (OpenAI, Anthropic, Cohere, etc.), embedding models, and vector store integration.
• Expertise in MLOps tools like MLflow, Airflow, SageMaker, or Kubeflow.
• Experience with cloud platforms (preferably AWS), Docker/Kubernetes, and large-scale data systems (e.g., Snowflake, Databricks).
• Excellent problem-solving and system design skills, including CI/CD, testing, and infrastructure-as-code.
  
  

Preferred Qualifications

• Experience with streaming pipelines, online inference, and model monitoring at scale.
• Exposure to agent memory, feedback loops, or AI workflow orchestration in customer-facing products.
• Prior contributions to open-source ML or LLM projects are a plus.
  
  

Why Join HG Insights?

• Work on high-impact AI products used by global enterprise customers.
• Lead the ML engineering strategy and shape our AI platform.
• Competitive compensation and benefits tailored for India-based employees.
• A collaborative and innovation-focused team environment.
  
  

Ready to build the future of AI infrastructure? Apply now to join HG Insights as a Staff Machine Learning Engineer in Pune.

So, what’s the role all about?

We are looking for a highly skilled DevOps Engineer [Cloud Operations] with strong hands-on experience in AWS and Azure environments to drive operational excellence, cloud security, automation, and cost optimization. You will manage and improve our multi-cloud infrastructure, lead IAM and account creation processes, enforce FinOps practices, integrate Okta for identity, and support development teams through Git-based workflows and CI/CD.

How will you make an impact?  

• Release & deployment operations

  • Coordinate and execute build and release activities across multiple production regions within scheduled maintenance windows
  • Manage day-to-day operations of release pipelines, including Jenkins and GitHub Actions workflows, on behalf of data engineering teams
  • Author and manage Change Requests in ServiceNow, following CAB and CHG guidelines
  • Respond to platform alerts, investigate issues, and keep stakeholders informed

  Observability & support

  • Perform ongoing monitoring and maintenance of Snowflake environments — warehouse performance, access, and cost
  • Monitor MSK (Kafka) consumers and producers via CloudWatch; escalate or resolve anomalies
  • Keep runbooks current and contribute to post-incident reviews
  • Support data engineering teams with deployment questions and environment issues

  Improvement & automation

  • Identify and prototype improvements to DataOps processes through scripting and automation

  Build and maintain tooling that reduces toil and improves the reliability of our release pipeline

Have you got what it takes?

• 3+ years in a DataOps, Platform Operations, or DevOps/SRE role supporting data infrastructure
• Snowflake: hands-on with RBAC, warehouses, multi-environment administration, and SQL
• AWS: S3, IAM, CloudWatch, Lambda — comfortable in the console and with the CLI
• Experience defining and working within CI/CD pipelines using Jenkins and/or GitHub Actions
• Python scripting for operational automation
• Experience working within a formal change management process: CRs, maintenance windows, approvals
• Clear communicator when things break — you keep stakeholders informed without being asked
• Comfortable working async across time zones in a distributed team
• Familiar with AI tools and comfortable using them in day-to-day work

 What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!

Requisition ID: 10529

Reporting into: Tech Manager, CX

Role Type: Individual Contributor

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

In this role, you will:

Job Summary:

About the Role We are seeking an experienced GCP Lead to spearhead cloud data architecture and delivery on Google Cloud Platform (GCP). In this leadership role, you will design, implement, and optimize scalable data pipelines using BigQuery, Pub/Sub, and ETL frameworks, while driving stakeholder alignment across engineering, product, and business teams. The ideal candidate thrives in fast-paced environments, mentoring teams on GCP best practices and ensuring seamless data-driven solutions for enterprise clients. Key ResponsibilitiesLead end-to-end GCP data platform implementations, focusing on BigQuery for analytics, Pub/Sub for real-time messaging, and ETL pipelines using Dataflow, Composer, or custom tools.Architect and optimize high-volume data ingestion, transformation, and querying workflows to support business intelligence and ML workloads.Collaborate with cross-functional stakeholders—including product owners, data scientists, and executives—to gather requirements, define roadmaps, and deliver value through clear communication and presentations.Mentor junior engineers on GCP services, conduct code reviews, and enforce best practices for security, cost optimization, and scalability.Troubleshoot complex issues in production environments, perform performance tuning, and integrate with hybrid/multi-cloud setups.Drive migration projects from on-premise or other clouds (e.g., AWS/Cloudera) to GCP, ensuring minimal downtime and data integrity.

Required Qualifications10-12 years of total experience in IT/cloud consulting, with at least 5+ years hands-on with GCP (BigQuery, Pub/Sub, Dataflow/ETL).Bachelor's or Master's degree in Computer Science, Engineering, or related field.Proven track record leading GCP projects with measurable outcomes (e.g., reduced ETL latency by 40% or scaled Pub/Sub to millions of events/sec).Strong communication skills for stakeholder management, including executive presentations and agile ceremonies.GCP certifications (e.g., Professional Data Engineer, Professional Cloud Architect) preferred.Preferred SkillsExperience with Dataproc, Vertex AI, or integration with tools like Snowflake/Databricks.Familiarity with CI/CD (Cloud Build), IAM, and monitoring (Cloud Monitoring/Logging).Knowledge of data governance, compliance (GDPR), and cost management in GCP.

About us:

HG Insights is the pioneer of Revenue Growth Intelligence. For more than a decade, we have delivered comprehensive, AI-driven datasets on B2B buyers, technology adoption, IT spend, and buyer intent, sourced from billions of data points. Today, we are a trusted partner to Fortune 500 technology companies, hyperscalers, and innovative B2B vendors seeking precise go-to-market analytics and decision-making.

Through an evolving suite of AI agents that incorporate first-party data and buyer signals, HG Insights enables AI-powered GTM automation across sales, marketing, RevOps, and data analytics teams, modernizing GTM execution from strategy through activation.

What You'll Do:

We’re searching for an experienced Full Stack developer to work on our product teams who is passionate about developing products that are simple, intuitive, and beautiful. We build big-data systems utilizing cutting-edge technologies and solutions that allow our developers to learn and develop while shipping amazing products.

As part of our team, you’ll be working on our Big Data Insights Platform products and elevating user experiences. Our stack is based on Elixir, React, and GraphQL APIs. We are a growing company with small, focused engineering teams that are delivering innovative features in a fast-growing market.

What You’ll Be Responsible For:

• You will work on our Product Engineering Teams
• You will design and enhance core business-driving services and products
• You will develop features in our databases, backend apps, and front end UI
•  You will help architect and design service-driven UI via RESTful and GraphQL APIs
• You will work on ideas from different team members as well as your own
• Participate in our on-call rotation, Fix bugs rapidly and investigate and resolve production problems
• Attend daily stand-up meetings, planning sessions, encourage others, and collaborate at 
  a rapid pace

What You’ll Need:

•  BS/MS in Computer Science, or other related fields. Or on-the-job experience.
• 5+ years of designing and programming in a work setting 
• Proficient in backend (Elixir) and frontend (JavaScript/TypeScript) with real-world experience applying system and code design patterns.
• Strong in React or similar
• Experience building RESTful or GraphQL APIs
• Good knowledge of SQL
• Experience with Amazon Web Services (EC2, S3, RDS, Lambdas, EKS, etc.)
• Comfortable working with CI/CD and automation tools: Docker, Kubernetes, Terraform or
  similar
• Good DevOps skills (automate everything, infrastructure as code)
• Comfortable in an agile development environment
• Self-learner, hacker, and technology advocate who can work on anything
• Thrive in a fast-growing environment
• Proven track record of successful project delivery
• Excellent written and spoken English communication

Nice-to-haves:

•  You've worked on Enterprise-grade SaaS applications
• Experience leading a project / team
• Familiar with ElasticSearch, Snowflake/Databricks, ClickHouse or similar Big Data technology
• Loves startup culture where everyone's contributions are felt and loved.

What You Will Do and Learn

We are looking for an Integrations & Data Migration Senior Analyst to join our India Team!

The Integrations & Data Migration Analyst will be responsible for scoping, designing, implementing, and testing integration and migration solutions. Working closely with our client partners, you’ll develop relationships with key technical resources while building tangible business value. Continuous client education and enablement throughout various deployment phases are what make Spaulding Ridge a leading firm during sales selection processes.

Ideal candidates will be able to:

• Collaborate with team members to design and implement technology solutions that align with client business objectives.
• Support Salesforce-focused data migration workstreams, including:
• Source-to-target mapping and transformation logic
• Data extraction, cleansing, validation, reconciliation, and cutover planning
• Loads into Salesforce using tools such as DBAmp (SQL Server ↔ Salesforce) and/or middleware tools
• Design and build integrations between platforms such as Anaplan, Workday, Salesforce, and a variety of cloud-based or on-premise business systems.
• Build mock Proofs of Concept (POCs) for integration and migration approaches for potential clients.
• Work with integration and data movement technologies such as MuleSoft, Boomi, Talend, Jitterbit, Workato, Informatica, and other key offerings.
• Assist with integration patterns and API-based connectivity, including experience with REST/SOAP, authentication concepts, and error handling/retry strategies.
• Identify data/integration issues and structural problems, and generate actionable recommendations using standard methodologies.
• Demonstrate a clear understanding of client business needs, goals, and objectives, translating them into functional and technical requirements.
• Contribute to data platform and analytics enablement by supporting pipelines into or out of Snowflake (basic understanding of loading concepts, staging, and data modeling fundamentals is a plus).

Qualifications

• Bachelor’s Degree or higher
• Minimum 4+ years of professional consulting or relevant industry experience (integration, data engineering, or enterprise application delivery)
• Experience with data migrations, ideally on Salesforce projects, including data validation and reconciliation
• Strong experience in Application Integration Architecture, solution design, and development using SOAP and REST
• Familiarity with data movement / ETL / ELT concepts (batch vs. near-real-time, scheduling, monitoring, logging)
• Exposure to or experience with DBAmp and/or middleware-based migration approaches is strongly preferred
• Experience and knowledge of leading cloud integration technologies such as Talend Enterprise, Boomi, MuleSoft, Jitterbit, Workato, Informatica, etc.
• Basic familiarity with cloud data platforms such as Snowflake (or strong willingness to learn)
• Intermediate Java, Python, SQL, or other modern language development experience is a plus
• Outstanding analytical, communication, and interpersonal skills required
• Project Management experience is a plus, including maintaining a prioritized worklist and understanding financial views of projects
• Should be capable of managing the day-to-day client relationship on projects

What else to expect

As a Spaulding Ridge employee, the right candidate will also gain exposure to an early stage growth company providing innovative opportunities to impact our clients in a meaningful way. We believe giving back is core to our values. As such, the opportunity to participate in SR’s day of service, giving back to the global community.

We take care of you!

Here are some our great perks and top benefits to highlight:

• Full benefit offerings including health, wellness, retirement and lifestyle offerings
• Paid holiday time
• Flexible Time Off – Take the time you need when you need to take it
• Paid maternity and paternity leave

About the Role:

As a Product Owner at Abacus Insights, you will play a pivotal role in bringing to market a cutting-edge cloud data platform which enables an industry leading data usability for healthcare payers, ultimately enabling them to turn their vast data into insights that drive improved outcomes. This role requires a robust background in software development or data engineering to effectively translate high-level product vision and customer needs into detailed requirements. You will be working collaboratively with engineering and stakeholders from across the organization to ensure the development of features that optimize value and meet customer needs. As a key member of the product team, you will be responsible for managing Abacus products throughout their lifecycle to include opportunity identification, demand intake, roadmap management, requirement development and analysis, story grooming, design reviews, product acceptance, go-to-market, and sunset planning. This role requires a person who can successfully manage across all aspects of product management while keeping focused on delivering true customer ROI and excelling as a technical translator of business need into technical specifications.

Your day to day: 

• Translate the strategic direction set by the Product Manager into specific product features and oversee development of these features efficiently within the agile framework.
• Support engineers comprehensively throughout all aspects of the Software Development Life Cycle (SDLC), providing guidance, insights, and assistance as necessary.
• Assume end-to-end responsibility for the lifecycle of product features you own
• Act as the primary translator between business needs and technical requirements, effectively bridging the gap to ensure alignment between stakeholders and engineering teams.
• Work with cross-functional teams to analyze current product performance and identify areas for improvement.
• Communicate comprehensive updates, progress reports, and insights related to the product's development to company leadership and other audiences.
• Collaborate with stakeholders, customers, and the development team to gather comprehensive requirements and document customer scenarios, pain points, and success criteria for product feature-sets and features.
• Estimate anticipated impact of each product feature and craft effective value statements to be used in roadmap prioritization.
• Create, prioritize, and manage the product backlog to ensure that the team is working on the most valuable items first.
• Ensure that the development team understands the scope and complexity of the tasks and can accurately estimate the level of development effort.
• Participate in sprint planning, reviews, and retrospectives, ensuring that the development team is building the product as envisioned and meeting the acceptance criteria.
• Act as the primary liaison between stakeholders and the development team, conveying updates, managing expectations, and gathering feedback.
• Ensure visibility, transparency, and clarity of the product backlog for all stakeholders involved.
• Manage product acceptance testing phases to ensure features not only add value but also align with customer needs.
• Coordinate release activities to ensure seamless deployment.
• Prepare relevant documentation and conduct internal user training for new features.
• Collaborate with client management to ennsure they have what they need to support our clients in optimizing the impact of the product.

What you bring to the team:

• A deep understanding of data software engineering or a minimum of 3 years of software development or data engineering experience.
• Domain expertise in shipping Software as a Service (SaaS) products.
• Deep domain expertise in cloud technologies, including AWS, Azure and/or GCP.
• Skilled in database concepts and tools (preferably on Databricks and Snowflake).
• Deep understanding of the data platform R&D processes and agile methodologies.
• Experience with big data, ETL and data pipelines, security and privacy, DevOps, or automation.
• BS or MS in Computer Science, or related fields, or equivalent experience in a technical product owner role or an adjacent position.
• Proven ability to influence and coordinate cross-functional teams to execute plans in highly technical environments.
• Exceptional communication skills critical for translating business requirements into technical specifications, and communicating with technical and non-technical audiences.
• Well-developed strategic-thinking skills, with the ability to inspire and lead others.
• A highly proactive get it done attitude and the skills to back it up.
• Demonstrated ability to thrive in a fast-paced, dynamic startup environment.

What we would like to see, but not required:

• US Healthcare Payor or Provider industry experience.
• Experience with healthcare interoperability standards such as HL7 V2, FHIR and X12.
• Experience with integrating or implementing healthcare-related EMPI/MDM workflows.

What you’ll get in return :

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements :

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

About the Role:
As a Senior AI Engineer, you will help architect, build and implement our AI platforms, working closely with data quality engineers, data/software engineers, platform engineers, DevOps, product owners and business.  You provide technical leadership for multiple, diverse, and geographically distributed teams. You will coach and guide teams to enable future success. Also be a partner with engineering managers, directors and VP on strategic initiatives and future business growth opportunities especially around AI and ensuring the engineering organization can scale to meet the need.

As a member of the engineering team, you are responsible for coaching, mentoring, and driving change to enable us to better deliver and innovate in an agile environment.

Your day to day:

• Help shape the direction of our applied AI areas and intelligence features in our products. Drive the deployment of state-of-the-art AI models and systems that directly impacts on the capabilities and performance of Abacus’s products and services (e.g., Abacus Agents, MCP, SQL and RAG agents and tools, etc.)
• Develop novel data collection, fine-tuning, and LLM technologies that achieve optimal performance on specific tasks and domains
• Design and implement ML/AI pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation, iteration and self-healing
• Work closely with cross-functional teams, including AI engineers, data engineers, and product teams, to deliver impactful AI solutions that enhance user productivity and satisfaction
• Build scalable, reusable backend systems to support GenAI products across the company. Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model and GenAI system performance
• Skillful at driving critical projects (e.g. AI and data engineering Innovation, Development Productivity and Benchmarking)
• Meaningful experience in the world of Data and AI
• Capable of credible customer interactions
• Mentoring development team members to ensure delivered solutions adhere to the software architecture strategy, coding standards, and established organizational policies and procedures
• Participating in software architectural discussions, influencing decisions, and collaborating with peers to maintain consistency across the organization
• Identifying people and process improvement strategies for the Agile/Scrum team(s), especially for AI projects/teams where innovation and iteration are critical
• Communicate organizational updates to ensure teams adhere to the established policies and procedures
• Ensure projects are completed on time and according to our quality standards
• Facilitates communication upward around architecture, design, and implementation objectives
• Proven experience in leading software development teams or projects
• Excellent knowledge of software development design, QA and test automation, and experience with agile development methodologies
• Demonstrated knowledge of Cloud Architecture, AI Architecture, Agents/Agentic systems, Massive Parallel Processing (MPP) compute frameworks for Data+AI platforms, Security, and MCP/API based services
• Good understanding of Incident Management, Configuration Management, Operational efficiency and Customer Escalation Management preferred. Can manage the balance of deliveries on our roadmap commitments while dealing with interruptions and client escalations
• Good experience with open source
• Coach and mentor software and AI developers, develop staff skills, provide continuous feedback 
• Has relentlessly high standards (is never satisfied with the status quo)
• Responsible for protecting, securing, and proper handling of all confidential data held by Abacus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Abacus or our clients.

What you bring to the team:

• Minimum of 3 years of ML/AI engineering experience in high-velocity, high-growth companies. Alternatively, a strong background in relevant ML/AI research in academia will be considered as contributing qualification
• Minimum of 3 years of experience as a software developer at some point in career
• Minimum of 2 years of experience with Databricks, Mosaic AI Gateway and associated technologies in Databricks stack related to Data and AI engineering
• Strong track record of working with language modeling technologies and GenAI. This could include the following: Developing generative and embedding techniques, modern model architectures, fine tuning / pre-training datasets, evaluation benchmarks, Agents and Agentic workflows (e.g. orchestration, workflow management, observability, debugging), RAG, SQL Agents, MCP, etc.
• Proficiency in Python, TensorFlow/PyTorch, and scalable ML/AI architecture
• Ability to drive end-to-end model and system development, from research and prototyping to deployment and monitoring
• Strong analytical and problem-solving skills, with a passion for improving AI-driven user experiences
• Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment
• Experience and good understanding of designing scalable, distributed systems for running small to medium scale data processing applications and services (10s – 100s of TBs of data)
• Possesses a level of breadth and depth of software and AI development experience that allows for influence and competence in technical discussions with internal and external stakeholders
• Solid understanding of roles adjacent to the software development (product management, project management, client delivery, operations etc.). Ability to adapt to these roles as defined at Abacus and work with others in these roles
• Proven record of success of driving and/or leading engineering teams/projects towards developing production grade systems supporting customers
• Nice to have experience with, but not required: Snowflake, FHIR, Healthcare Data exposure

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements 

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

Job title: Manager Cloud Integration 

Division/Department: Corporate Information Technology & Security (CIT&S) 

Reports to: Global Director of Information Technology & Security 

Work Timing: 4 PM to 1 AM India Time

Work Type: Hybrid

Essential Duties and Responsibilities:  

This role is responsible for defining and overseeing the architectural direction across multiple systems, ensuring seamless integration, scalability, and alignment with business goals. You will serve as a hands-on leader—balancing strategic planning with technical depth—providing guidance, enforcing best practices, and shaping our technology landscape. 

• Architectural Leadership: Define, communicate, and enforce system architecture principles, patterns, and standards across multiple platforms and services. 

• Integration Strategy: Design and oversee integrations between internal and external systems, ensuring security, scalability, and performance. 

• Team Management: Lead, mentor, and grow a developer team. Conduct regular 1:1s, performance reviews, and career development planning. 

• Technical Oversight: Conduct architecture and code reviews, provide hands-on guidance, and ensure implementation aligns with architectural intent. 

• Cross-Functional Collaboration: Work closely with the delivery teams, operations, and business stakeholders to translate business requirements into scalable technical solutions. 

• Governance and Standards: Establish and maintain best practices, reusable patterns, and architecture review processes to reduce technical debt and improve consistency. 

• Strategic Influence: Partner with leadership to shape the long-term technology roadmap and drive strategic initiatives across the organization. 

• Lead Technical Change Management Forums: Providing architectural oversight on proposed changes, evaluating risk, ensuring coordination across teams and maintaining a high standard of operational stability. 

• On-call support for escalated incidents: Providing high-level architectural support and guidance during critical events.  

Education and Work Experience Requirements:  

• • 13+ years of experience in system architecture or engineering, with a strong focus on enterprise SaaS platforms and system integrations.
  • Minimum 5 years of hands-on experience integrating Salesforce and NetSuite, including the use of integration platforms such as MuleSoft, Boomi, or Jitterbit, and Python for automation and scripting.
  • Experience with other enterprise platforms, including:
    • Data visualization and analytics: Tableau, Power BI, Looker
    • ERP and PSA systems: Oracle ERP, SAP S/4HANA, Certinia
    • HRIS platforms: ADP, Workday
    • Familiarity with cloud-based data warehousing solutions, such as Snowflake, is a plus
  • 7+ years in a leadership or management role, with proven ability to lead technical teams and drive architectural decisions.
  • Demonstrated success in designing and integrating complex systems at scale.
  • BS or Master’s Degree in Computer Science, Information Technology, or a related field.
  • Deep understanding of cloud platforms (AWS, Azure, or GCP).
  • Strong knowledge of architectural patterns (e.g., microservices, event-driven architecture).
  • Experience with DevOps practices, CI/CD pipelines, and infrastructure as code.
  • Excellent communication and stakeholder management skills.
  • Persistent problem-solving mindset and proactive approach to learning new technologies.
  • Commitment to documentation and adherence to established procedures.
  • Participation in weekend on-call rotation for critical issues.

Job Title: GenAI Developer/ Engineer

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore

Experience - 6 to 10

Skills and Qualifications:

Preferred skills:

Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy)

GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel

Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch

Key Responsibilities:

• Develop scalable Python applications focused on GenAI
• Knowledge of Snowflake Cortex is a big plus.
• Learn and apply techniques like document chunking and embeddings
• Proficient in both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases, including schema design and optimization.
• Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
• Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
• Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
• Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
• Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
• Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
• Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
• Design and implement scalable RESTful APIs and microservices to expose AI functionalities
• Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
• Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
• Follow coding best practices and contribute to testing and documentation
• Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
• Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
• Communicate effectively with both technical and non-technical team members, ensuring alignment and understanding across all project phases.

Senior Software Engineer- Data Architect

at Convera

Pune- WFH

We are seeking an experienced Senior Software Engineer to oversee the development and utilization of data systems. You will be reporting to the Sr. Manager to join our dynamic team in the Foreign Exchange payments processing industry. The ideal candidate is responsible for defining and implementing the enterprise data architecture strategy and ensuring robust data governance across the organization. This role requires a deep understanding of business processes, technology, data management, and regulatory compliance. The successful candidate will work closely with business and IT leaders to ensure that the enterprise data architecture supports business goals, and that data governance policies and standards are adhered to across the organization. Your responsibilities will include working closely with data modelers, data engineers, analysts, cross-functional teams, and other stakeholders to ensure that our data platform meets the needs of our organization and supports our data-driven initiatives. It also includes building a new data platform, integrating data from various sources, and ensuring data availability for various application and reporting needs. Additionally, the candidate should have experience working with AI/ML technologies and collaborating with data scientists to meet their data requirements.

You will be responsible for: 

• Architect and Develop Data Architecture Solutions: Design and implement scalable and efficient data architecture solutions on enterprise data platform. Lead the end-to-end architecture, design and modeling using Snowflake, Tableau and AWS.
  
  
• Collaborate and Design Data Models: Partner with stakeholders and business units to understand data requirements and business goals. Lead the architecture and designing the data models, schemas, data mappings, data transformations and metadata that align with business needs, analytical requirements, and industry standards. Ability to analyze the legacy data models within legacy platforms involving SQL Server, Oracle and Stored Procedures. Possess strong hands-on SQL and Python skills.
• Data Integration, Governance and Security: Collaborate with internal and external teams to design, implement, and maintain data integration solutions, ensuring high data integrity, consistency, and accuracy. Ensure data security, integrity, and compliance with regulations. Oversee the integration of data from multiple sources into a unified system.
  
  
• Business Intelligence and Reporting: Develop and implement semantic models to support business intelligence and reporting needs. Design and manage data models involving dimensions, facts, metrics, and measures to ensure accurate and efficient reporting. Work closely with business analysts and BI developers to create and maintain semantic layers that facilitate self-service reporting and analytics. Ensure the semantic models align with business requirements and support key performance indicators (KPIs) and metrics.
  
  
• Implementation and Troubleshooting: Oversee the implementation of data solutions from initial concept through to production. Troubleshoot and resolve complex issues to ensure data pipeline stability and high performance. Monitor and optimize the performance of data systems and processes.
  
  
• AI and ML Capabilities: Stay updated with industry trends and advancements in AI and ML and integrate these technologies into the data architecture to enhance data processing and analytics capabilities.
  
  
• Documentation and Best Practices: Develop and maintain comprehensive documentation for data architecture, pipelines, and processes. Establish and enforce best practices for data engineering and quality assurance.

You should apply if you have:

• Bachelor's degree or equivalent in Computer Science, Engineering, or a related field with proven experience as a Data Architect or in a similar role. in architecting, designing, deploying, and managing data models on cloud-based infrastructure, preferably for data platforms.

• Minimum of 10 years of experience in enterprise data architecture, data management and data governance, or a related field.
• Strong knowledge of database design, data modeling, and ETL processes. Experience in designing and implementing data models involving dimensions, facts, metrics, and measures.

• Hands-on experience with Snowflake and SQL. Proficiency with data modeling tools such as ER/Studio, Erwin Data Modeler, Lucidchart, MySQL Workbench, and Oracle SQL Developer Data Modeler. Possess strong hands-on SQL and Python skills.
• Strong experience with data architecture principles, including data modelling, ETL/ELT processes, and data management and hands on experience with Big Data technologies.

• Familiarity with database systems such as Snowflake, SQL Server, PostgreSQL, or NoSQL databases.
  
  
• Ability to translate business requirements into effective semantic models that support reporting and analytics using Tableau.
  
  
• Excellent problem-solving and analytical skills.
  
  
• Strong communication and collaboration abilities.

Nice to have Qualifications:

• Experience with regulatory compliance related to data management (e.g., GDPR, HIPAA).
• Knowledge of emerging technologies such as AI, machine learning, and data analytics.
• Certifications in cloud platforms (e.g., AWS).

About Convera
Convera is the largest non-bank B2B cross-border payments company in the world. Formerly Western Union Business Solutions, we leverage decades of industry expertise and technology-led payment solutions to deliver smarter money movements to our customers – helping them capture more value with every transaction. Convera serves more than 30,000 customers ranging from small business owners to enterprise treasurers to educational institutions to financial institutions to law firms to NGOs.
Our teams care deeply about the value we bring to our customers which makes Convera a rewarding place to work. This is an exciting time for our organization as we build our team with growth-minded, results-oriented people who are looking to move fast in an innovative environment. 
As a truly global company with employees in over 20 countries, we are passionate about diversity; we seek and celebrate people from different backgrounds, lifestyles, and unique points of view. We want to work with the best people and ensure we foster a culture of inclusion and belonging.

We offer an abundance of competitive perks and benefits including: 

• Competitive salary
• Opportunity to earn an annual bonus. 
• Great career growth and development opportunities in a global organization.
• A flexible approach to work

There are plenty of amazing opportunities at Convera for talented, creative problem solvers who never settle for good enough and are looking to transform Business to Business payments. Apply now if you’re ready to unleash your potential.

#LI-AK1

What You Will Do and Learn

As a Data Engineer in Data Solutions, you’ll be responsible for designing, implementing, and testing proposed modern analytic solutions.  Working closely with our client partners and architects, you’ll develop relationships with key technical resources while delivering tangible business outcomes. 

Qualifications:

· 2-4 years’ experience developing industry leading business intelligence and analytic solutions

· Must have thorough knowledge of data warehouse concepts and dimensional modelling

· Must have experience in writing advanced SQL

· Must have at least 2+ years of hands-on experience on DBT (Data Build Tool). Mandatory to have most recent hands-on experience on DBT.

· Must have experience working with DBT on one or more of the modern databases like Snowflake / Amazon Redshift / BigQuery / Databricks / etc.

· Hands-on experience with Snowflake would carry higher weightage

· Snowflake SnowPro Core certification would carry higher weightage

· Experience working in AWS, Azure, GCP or similar cloud data platform would be an added advantage

· Hands-on experience on Azure would carry higher weightage

· Must have experience in setting up DBT projects

· Must have experience in understanding / creating / modifying & optimizing YML files within DBT

· Must have experience in implementing and managing data models using DBT, ensuring efficient and scalable data transformations

· Must have experience with various materialization techniques within DBT

· Must have experience in writing & executing DBT Test cases

· Must have experience in setting up DBT environments

· Must have experience in setting up DBT Jobs

· Must have experience with writing DBT Jinja and Macros

· Must have experience in creating DBT Snapshots

· Must have experience in creating & managing incremental models using DBT

· Must have experience with DBT Docs

· Should have a good understanding of DBT Seeds

· Must have experience with DBT Deployment

· Must Experience with architecting data pipelines using DBT, utilizing advanced DBT features

· Proficiency in version control systems and CI/CD

· Must have hands-on experience configuring DBT with one or more version control systems like Azure DevOps / Github / Gitlab / etc.

· Must have experience in PR approval workflow

· Participate in code reviews and best practices for SQL and DBT development

· Experience working with visualization tools such as Tableau, PowerBI, Looker and other similar analytic tools would be an added advantage

· 2+ years of Business Data Analyst experience

· 2+ years of experience writing Business requirements, Use cases and/or user stories, for data warehouse or data mart initiatives.

· Understanding and experience on ETL/ELT is an added advantage

· 2+ years of consulting experience working on project-based delivery using Software Development Life Cycle (SDLC)

· 2+ years of years of experience with relational databases (Postgres, MySQL, SQL Server, Oracle, Teradata etc.)

· 2+ years of experience creating functional test cases and supporting user acceptance testing

· 2+ years of experience in Agile/Kanban/DevOps Delivery

· Outstanding analytical, communication, and interpersonal skills

· Ability to manage projects and teams against planned work

· Responsible for managing the day-to-day client relationship on projects

· Manage the Data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance

· Collaborate with team members to design and implement technology that aligns with client business objectives

· Build proof of concepts for a modern analytics stack supporting a variety of Cloud-based Business Systems for potential clients

· Team management experience and ability to manage, mentor and develop talent of assigned junior resources

· Create actionable recommendations based on identified platform, structural and/or logic problems

· Communicate and demonstrate a clear understanding of client business needs, goals, and objectives

· Collaborate with other architects on solution designs and recommendations.