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 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

Role: GCP Data Engineer 

Job Summary:

We are looking for an enthusiastic GCP Data Engineer to join our dynamic and growing project team. In this role, you will have the opportunity to develop your skills while contributing to large-scale data projects on Google Cloud Platform. You will work closely with senior engineers and data analysts to build and maintain robust data pipelines, helping to turn raw data into actionable insights. This is an excellent opportunity for a foundational career in data engineering within a supportive and collaborative environment.

Key Responsibilities:

· Develop, test, and maintain data pipelines and ETL/ELT processes using Python, SQL, and GCP services.

· Write and optimize complex SQL queries in BigQuery for data transformation, extraction, and analysis.

· Assist in the design and implementation of data models within our data warehouse.

· Collaborate with the broader project team to understand data requirements and deliver effective solutions.

· Troubleshoot and resolve issues in data pipelines and data quality to ensure accuracy and availability.

· Contribute to documentation and adhere to data engineering best practices.

· Support the team in various data-related tasks and be eager to learn new technologies and techniques.

Required Qualifications:

· Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

· 5-8 years of hands-on experience with strong programming skills in Python for data manipulation and processing.

· Proficiency in SQL for querying and data transformation.

· Hands-on experience or significant project work with Google Cloud Platform (GCP).

· Familiarity with core GCP data services, particularly BigQuery and Pub/Sub.

· Strong understanding of data warehousing concepts and ETL/ELT processes.

· A proactive and curious mindset with strong problem-solving skills.

· Excellent communication and teamwork skills, with the ability to work effectively in a large project team.

Preferred Qualifications:

· Experience with other GCP services such as Cloud Composer (Airflow) or Dataflow, Cloud Functions.

· Familiarity with version control systems, especially Git.

· Google Cloud certification (e.g., Associate Cloud Engineer) is a plus.

· A passion for data and a strong desire to grow a career in the data engineering field.

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

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)

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

Location: Pune
Experience Range: 5–9 years

Role Overview:
The Senior QA/Data Tester validates the functional and technical integrity of data pipelines across enterprise-scale Big Data environments. The role focuses on SQL validation, Spark testing, automation, and ensuring high-quality data delivery.

Key Skills:
• 5–9 years of QA/testing experience in Data Warehouse or Data Engineering projects
• Strong SQL expertise (Oracle/Hive) for complex data validation
• Hands-on experience in Python, Unix, and shell scripting
• Experience testing Spark/Scala applications on Hadoop or object storage
• Exposure to automation frameworks for Big Data environments
• NiFi experience (preferred)
• Strong analytical, communication, and coordination skills
• Agile delivery experience

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

Location: Pune
Experience Range: 5–9 years

Role Overview:
The Senior Data Engineer designs and develops complex data pipelines and contributes to end-to-end solution delivery across enterprise-scale Big Data environments. The role ensures data reliability, performance, and adherence to engineering best practices.

Must-Have Skills:
• 5–9 years in Data Engineering across Data Warehouse/Data Lake/Lakehouse environments
• Strong Spark development (Scala/Python/Java) on Hadoop or object storage
• Strong SQL capabilities (Oracle/Netezza/Hive or similar)
• Experience delivering large-scale data pipelines
• Agile/Scrum delivery experience

Optional Skills:
• Experience building NiFi pipelines
• Strong debugging and RCA skills
• Ability to work independently across multiple priorities
• Strong communication and collaboration abilities

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

Position Overview 

We are looking for a professional to join our analytics Team in Pune, India. A successful candidate should be an analytically minded hands-on individual with a strong academic background, entrepreneurial spirit, and interest in data analytics. The position requires incumbent to leverage analytics and visualization tools to present information in a way that drives fact-based decision making. The incumbent should be expert in optimizing the data flows and understand the opportunities of new data sources in the context of integration into database/visualization platform.   

Our Analytics Team helps our clients across the globe, identify their highest-value prospects and customers and deliver relevant messages to those people using a census-level data stack and advanced tools for custom audience creation, extension (via look-alike models), and syndication to activation platforms. These capabilities represent an important part of our current business, with very strong growth potential. The team objective is to accelerate our growth, delivering strong revenue gains by attracting new clients and delighting current clients to retain and expand their engagement.  

The team support this goal through high-quality delivery and reporting on projects viz. campaign reporting, audience segmentation, look-alike modeling, audience activation, and closed-loop measurement of media outcomes (reach, frequency, sales impact, etc.). 

This role is based in Pune but will be supporting teams around the world  

Responsibilities

• Own the design, development, and maintenance of ongoing reports and dashboards on the key drivers of our business.
• Leverage analytics and visualization tools to present information in a way that drives fact-based decision making.
• Partner with operations/business teams to consult, develop and implement KPIs, automated reporting/process solutions.  
• Collaborate with Business teams and data owners to maintain data integrity and compliance.
• Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.
• Manage on-time delivery of regular client/internal reports
  • Building reports from data warehouse
  • Review of completed reports for anomalies & discrepancies
  • Troubleshooting data issues/discrepancies
  • Ensure formatting & delivery parameters are met
• Investigate and understand the opportunities of new data sources in the context of integration into database/visualization platform.
• Support data cleansings & manipulation process including but not limited to:
  • Taxonomy classification
  • Conversion re-naming, grouping
  • Removal of test/ghost impressions 

Qualification - Required Skills 

• 3 to 5 years of experience in Analytics domain
• A bachelor’s degree in statistics, mathematics, econometrics, quantitative finance, actuarial science or engineering from a reputable university is a must
• Rich experience in data visualization tools such as Tableau / Power BI / Looker Willingness to work in night shifts
• Hands on experience in creating complex SQL Queries joining multiple datasets.
• Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams.
• Willing to work in night shifts.

Qualifications - Desired Skills 

• An ability and interest in working in a fast-paced, ambiguous and rapidly changing environment.
• Experience in developing requirements and formulating business metrics for reporting.
• Experience working with large datasets using Python is desirable
• Good hands-on MS-Excel. VBA would be a plus.
• Candidates who have understanding of media and marketing domain would be preferred 

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.  

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 Anchanto:

Anchanto helps all businesses to exploit the full potential of e-commerce. Our suite of SaaS Products enables companies globally to springboard omnichannel sales, scale fulfilment operations, and use intelligent data to grow their e-commerce, logistics & warehousing activities. Leading, brands, distributors, retailers, and logistic enterprises such as L'Oréal, Decathlon, or DHL Supply Chain rely on our technology to scale their local and global e-commerce operations.

• Support the Product Manager in translating product strategy into structured requirement backlogs and execution-ready inputs.
• Participate in problem discovery, feature shaping, and business process analysis for WMS capabilities.
• Analyze customer and operational pain points to identify product gaps and improvement opportunities.
• Use data and workflow understanding to support prioritization discussions and roadmap refinement.
• Contribute insights on feature adoption, usage behavior, and process bottlenecks to guide better product decisions.

• Write detailed business requirements, user stories, functional flows, process maps, use cases, edge cases, and acceptance criteria.
• Independently drive requirement discussions with stakeholders and bring structure to ambiguous business needs.
• Review workflows and ensure requirements are complete, testable, and aligned to intended business outcomes.
• Support definition of non-functional requirements such as usability, performance, scalability, auditability, and reliability.
• Participate in API review discussions and define business requirements for validations, mappings, status flows, exceptions, and operational behavior.
• Work closely with Engineering and QA during development and testing to clarify requirements and resolve open questions.
• Ensure requirement traceability from business problem to delivered solution.
• Work as a strong independent contributor within the product team and take ownership of assigned modules or workstreams.
• Support the Product Manager in maintaining requirement quality, follow-up discipline, and execution governance.
• Help junior team members or cross-functional stakeholders understand workflows, business rules, and documentation standards where needed.
• Drive assigned deliverables proactively without dependency on constant direction.

• Use Mixpanel or Tableau or Pendo, and related tools to analyze product usage, feature adoption, customer behavior, and workflow performance.
• Build dashboards and structured views to support product reviews, decision-making, and opportunity identification.
• Measure key trends such as user drop-offs, adoption patterns, operational bottlenecks, and release impact.
• Support the Product Manager in defining and tracking success metrics for key product initiatives.
• Use data to support recommendations for product enhancement, UX improvements, and operational efficiency.
• Ensure roadmap outcomes create measurable value for customers and internal teams.
• Use data and operational insights to identify gaps, prioritise fixes, and improve product performance.

• Work with customers and partners to understand requirements, pain points, and business processes.
• Manage senior stakeholder communication with clarity, structure, and confidence.
• Drive decision-making across competing priorities, dependencies, and delivery trade-offs.
• Partner with internal product teams across OMS, Integration, and Parcel Tracking to ensure end-to-end integration consistency.
• Work with Sales, KAM, Implementation, Engineering, QA, Product Marketing and Marketing to ensure a successful adoption of integration being built and user.
• Engage with customers and warehouse stakeholders to understand pain points, business processes, and improvement opportunities.

• Create and maintain product documentation such as BRDs, FRDs, user stories, process flows, technical requirement notes, release notes, FAQs, troubleshooting guides, self-help content, and user guidance materials.
• Support creation of user guides, training content, API documentation inputs, and knowledge base materials.
• Ensure documentation is structured, updated, and easy to consume across teams.
• Participate in training sessions, demos, and knowledge-sharing sessions for internal teams and customers where needed.
• Build strong reference material for workflows, business rules, and system behavior.

• Support customer UAT planning and execution for strategic integration releases.
• Ensure requirements are testable and customer acceptance scenarios are clearly defined.
• Work with implementation, QA, and customer teams to address UAT feedback and close gaps before launch.

• 4–7 years of experience in Business Analysis, Product Analysis, or product-oriented functional roles, preferably in SaaS or enterprise software.
• Strong experience in writing business requirements, user stories, workflows, functional specifications, use cases, edge cases, and acceptance criteria.
• Proven ability to work independently and drive requirement analysis with minimal direction.
• Strong hands-on understanding of Warehouse Management Systems and warehouse operations.
• Good domain knowledge across inbound, outbound, inventory management, replenishment, picking, packing, dispatch, returns, and warehouse productivity workflows.
• Experience using analytics and product insight tools such as Mixpanel, Tableau, Pendo, or similar platforms.
• Ability to analyze feature adoption, user journeys, drop-offs, workflow friction, and operational/product usage metrics.
• Experience working closely with Engineering, QA, Delivery, Support, and Customer Success teams.
• Ability to participate effectively in API requirement discussions, business rule definition, and non-functional requirement analysis.
• Strong communication skills with the ability to articulate requirements clearly and crisply.
• Strong analytical thinking, stakeholder coordination, prioritization, and problem-solving ability.
• Hands-on experience using Aha!, Jira, and Confluence or equivalent collaboration/documentation tools.
• Shape.

• 2+ Experience in eCommerce, logistics, supply chain, or B2B SaaS platforms.
• Bachelor’s degree in Engineering, Supply Chain, Operations, Business, Technology, or a related field.
• MBA or postgraduate qualification is preferred.
• Prior experience in SaaS, supply chain technology, logistics technology, or warehouse operations products is preferred.
• Exposure to adjacent systems and advanced warehouse ecosystems such as:
• TMS
• Labour Management Systems
• Robotics / AMR
• Yard & Dock Management
• WES / WCS
• Exposure to warehouse automation, control systems, and enterprise integrations is good to have.
• Experience working with global customers, multi-warehouse environments, or large-scale implementations is an advantage.
• Prior warehousing domain experience through product, consulting, operations, or implementation roles will be an added advantage.
• Certifications in Scrum/Agile methodologies is preferred.
• Advanced understanding of business process analysis.
• Expertise with APIs, XMLs and JSONs.
• Work with the latest and most in-demand technologies, concepts, and approaches, including DevOps, Microservices, IoT, and more.
• Ability to work effectively as part of a lean team and willing to take on responsibility.
• Strong analytical skills with proficiency in data analysis tools and techniques.
• Excellent communication and collaboration skills, with the ability to influence cross-functional teams and stakeholders.
• Detail-oriented with a strategic mindset and a passion for driving product innovation and growth.

We at Anchanto are seeking an experienced Database Administrator to join our team responsible for developing database solutions. The right candidate will energize the team, foster collaboration across the organization, and lead the drive toward high-caliber, high-performing products

Description:

• Develop database solutions by designing proposed system, defining database physical structure and functional capabilities, security, back-up, and recovery specifications.
• Configure RDS services, create & manage documentation for the configurations.
• Troubleshoot DB Server outages, errors, slowness as they occur, including some after-hours and weekend support as needed.
• Configure DB monitoring utilities to help communicate risks proactively.
• Determine the most effective way to increase performance and recommend hardware upgrades, server configuration changes, or index/query changes.
• Develop/configure monitoring solutions to continuously monitor DB performance.
• Work with development teams to understand their needs and propose most optimal physical implementations.
• Configure database in the high-availability clustering mode and/or on cloud as necessary.
• Be the in-house expert for DB administration best practices including data backup and retrieval.
• Must be able to learn various database technologies such as MySQL, Postgres and NoSQL databases.

You need to have/ Required skills:

• Must have at least 5 years of hands on experience as a DBA.
• Must have strong database administration skills such as backup, performance monitoring, resource management, DB tuning, user rights, scheduling jobs, monitoring jobs, reading an interpreting SQL logs etc. either in MySQL or Postgres or both. Role requires to work on both databases as well NoSQL databases in future.
• Must have excellent knowledge of Data modelling and design.
• Must have strong knowledge and hands on expertise in stored procedures, functions, triggers, indexes, jobs and performance tuning.
• Must have strong knowledge of AWS RDS services · Knowledge of reporting tools is a plus.
• Experience with Data Warehouse and BI systems is also a plus.
• Prior experience with building high performance e-commerce software is also a big plus.
  

Who we are:

Enabling Simpler, Faster and Scalable eCommerce Operations, Our mission is to simplify backend eCommerce operations for businesses of all sizes through our innovative & intelligent SaaS platforms. We aim to transform the way businesses conduct eCommerce in the region, while aggressively moving towards becoming the most customer-centric company in our domain.

With headquarters in Singapore, a Global Product Engineering Centre in Pune, India and with strong local presence in the countries we do business in, Anchanto team numbers more than 300 employees worldwide serving 300+ customers worldwide. With rapidly growing customer base and constantly evolving needs of the market, we are looking to ramp up our engineering teams in Pune.

If you are looking to work with a fast-growing product company that offers to work on cutting edge technology, exhilarating & rewarding experience and excellent work-life balance, take a look at our various job openings.

• Identify strategic integration priorities across carriers, marketplaces, ERP systems, SAP, webstores, and aggregators.
• Build a scalable product approach for reusable plugins, connectors, and partner onboarding models.
• Evaluate customer demand, market opportunities, implementation pain points, and product gaps to shape roadmap priorities.
• Balance short-term business opportunities with long-term platform scalability and maintainability.

• Convert roadmap items into clear product requirements and execution plans.
• Write high-quality PRDs, user stories, workflows, acceptance criteria, and edge-case scenarios.
• Review team work outputs and ensure consistency, completeness, and clarity in requirements.
• Define functional and non-functional requirements for integration features, including performance, reliability, security, configurability, monitoring, and scale.
• Review API requirements and define business expectations around request/response structures, status handling, mapping rules, retries, validations, exceptions, and auditability.
• Work with engineering and QA through development, testing, release, and rollout to ensure quality delivery.
• Drive delivery governance to ensure timely closure of dependencies, risk tracking, and execution follow-through.
• Allocate work effectively across roadmap, BAU, issue resolution, and strategic initiatives.
• Build ownership, accountability, and strong execution discipline within the team.
• Drive NFRs and integration compliance related activities.

• Define and track success metrics for integration initiatives such as delivery timelines, adoption, onboarding speed, defect trends, implementation effort, support escalations, and customer satisfaction.
• Measure plugin and connector reusability to reduce repeated custom development effort.
• Monitor release outcomes and feedback to improve roadmap decisions and execution quality.
• Use data and operational insights to identify gaps, prioritise fixes, and improve product performance.

• Align senior leadership, engineering, operations, implementation, support, and commercial teams on roadmap priorities and delivery plans.
• Work with customers and partners to understand integration requirements, pain points, and business processes.
• Manage senior stakeholder communication with clarity, structure, and confidence.
• Drive decision-making across competing priorities, dependencies, and delivery trade-offs.
• Partner with internal product teams across OMS, WMS, and Parcel Tracking to ensure end-to-end integration consistency.
• Work with Sales, KAM, Implementation, Engineering, QA, Product Marketing and Marketing to ensure a successful adoption of integration being built and user.

• Own or govern the creation of user guides, API documentation, technical specifications, release notes, FAQs, troubleshooting guides, and self-help materials.
• Ensure documentation is accurate, structured, reusable, and aligned with product releases.
• Conduct training sessions, demos, and knowledge-sharing forums for internal teams and customers where needed.
• Build a strong knowledge base for integration capabilities, use cases, workflows, and known limitations.

• Use and govern product management and collaboration tools such as Aha!, Jira, and Confluence.
• Ensure roadmap visibility, requirement traceability, sprint alignment, and documentation hygiene across tools.
• Maintain structured records of decisions, requirements, dependencies, risks, and release updates.

• Support customer UAT planning and execution for strategic integration releases.
• Ensure requirements are testable and customer acceptance scenarios are clearly defined.
• Work with implementation, QA, and customer teams to address UAT feedback and close gaps before launch.

• 6–10 years of product management or business analysis experience, with meaningful experience in integration-heavy product environments.
• Strong experience in managing product requirements for integrations involving carriers, marketplaces, ERPs, SAP, webstores, aggregators, or similar ecosystems.
• Good understanding of OMS, WMS, e-commerce order processing, shipping workflows, inventory sync, status flows, and enterprise operations.
• Strong experience in writing PRDs, defining workflows, acceptance criteria, edge cases, and non-functional requirements.
• Ability to work closely with engineering teams on APIs, integration logic, data mapping, exception handling, and technical constraints.
• Experience leading or mentoring junior PMs/APMs and reviewing their work for quality and completeness.
• Strong stakeholder management skills with experience handling senior internal stakeholders and external enterprise customers.
• Excellent verbal and written communication skills with the ability to articulate ideas clearly, crisply, and persuasively.
• Strong problem-solving ability, prioritization skills, and execution discipline.
• Experience using Aha!, Jira, and Confluence or equivalent tools in a structured product environment.
• Ability to work across cross-functional teams including Engineering, QA, Delivery, Support, Customer Success, and Sales.
• Strong customer empathy and ability to translate business pain points into scalable product solutions.
• Hands-on experience with API testing tools (Postman, Swagger), integration platforms (Mulesoft, Zapier, etc.), and data transformation processes is a plus.

• 5+ Experience in eCommerce, logistics, supply chain, or B2B SaaS platforms.
• Exposure to omni-channel commerce, order orchestration, warehouse operations, parcel tracking, and ecosystem integrations is preferred.
• Understanding of plugin architecture, integration platforms, middleware concepts, webhooks, APIs, and enterprise integration design patterns is preferred.
• Knowledge of OAuth, REST, GraphQL, SAML, and messaging protocols like Kafka.
• Familiarity with cloud platforms (AWS, GCP, Azure) and microservices architecture.
• Certifications in Scrum/Agile methodologies is preferred.
• Advanced understanding of business process analysis.
• Expertise with APIs, XMLs and JSONs.
• Work with the latest and most in-demand technologies, concepts, and approaches, including DevOps, Microservices, IoT, and more.
• Hands-on experience with SOA, ESB, ETL tools and/or Data Integration products (Dell Boomi, Pervasive, Informatica, WebMethods, TIBCO, CastIron, Biztalk, ..).
• Ability to work effectively as part of a lean team and willing to take on responsibility.
• Strong analytical skills with proficiency in data analysis tools and techniques.
• Excellent communication and collaboration skills, with the ability to influence cross-functional teams and stakeholders.
• Detail-oriented with a strategic mindset and a passion for driving product innovation and growth.
• Application development experience with of Javascript, XML, XPath/XSLT, HTTP, Java, C#, C++, SQL is a plus.

• Define the product roadmap for Anchanto’s WMS based on org and product strategy and vision.
• Identify capability gaps and prioritize features based on customer needs, business priorities, and operational pain points.
• Balance short-term delivery needs with long-term product scalability and configurability.
• Support roadmap decisions across warehouse execution areas such as receiving, putaway, replenishment, inventory control, picking, packing, dispatch, returns, and value-added services.
• Evaluate opportunities for ecosystem integrations and operational enhancements that strengthen the WMS value proposition.

• Write detailed PRDs, user stories, workflows, use cases, edge cases, and acceptance criteria for WMS capabilities.
• Define functional and non-functional requirements for features including performance, scale, usability, security, auditability, and configurability.
• Review requirements and outputs from team members to ensure completeness and implementation readiness.
• Work closely with Engineering and QA through design, development, testing, rollout, and release stabilization.
• Review API-related requirements and define business expectations for validations, status handling, event flows, exceptions, retry behaviour, and data mapping where relevant.
• Track dependencies, risks, and trade-offs to ensure smooth execution and delivery discipline.
• Review team work outputs and ensure consistency, completeness, and clarity in requirements.
• Allocate work effectively across roadmap, BAU, issue resolution, and strategic initiatives.
• Build ownership, accountability, and strong execution discipline within the team.
• Drive NFRs and integration compliance related activities.

• Define and monitor key success metrics for WMS capabilities such as throughput, inventory accuracy, picking efficiency, packing productivity, SLA adherence, user adoption, and issue trends.
• Track release outcomes, defect leakage, support escalations, and customer feedback.
• Use product and operational insights to identify improvement opportunities and guide prioritization.
• Ensure roadmap outcomes create measurable value for customers and internal teams. Use data and operational insights to identify gaps, prioritise fixes, and improve product performance.

• Align senior leadership, engineering, operations, implementation, support, and commercial teams on roadmap priorities and delivery plans.
• Work with customers and partners to understand integration requirements, pain points, and business processes.
• Manage senior stakeholder communication with clarity, structure, and confidence.
• Drive decision-making across competing priorities, dependencies, and delivery trade-offs.
• Partner with internal product teams across OMS, Integration, and Parcel Tracking to ensure end-to-end integration consistency.
• Work with Sales, KAM, Implementation, Engineering, QA, Product Marketing and Marketing to ensure a successful adoption of integration being built and user.
• Engage with customers and warehouse stakeholders to understand pain points, business processes, and improvement opportunities.

• Own or govern the creation of user guides, API documentation, technical specifications, release notes, FAQs, troubleshooting guides, and self-help materials.
• Ensure documentation is accurate, structured, reusable, and aligned with product releases.
• Conduct training sessions, demos, and knowledge-sharing forums for internal teams and customers where needed.
• Build a strong knowledge base for integration capabilities, use cases, workflows, and known limitations.

• Use and govern product management and collaboration tools such as Aha!, Jira, and Confluence.
• Ensure roadmap visibility, requirement traceability, sprint alignment, and documentation hygiene across tools.
• Maintain structured records of decisions, requirements, dependencies, risks, and release updates.

• Support customer UAT planning and execution for strategic integration releases.
• Ensure requirements are testable and customer acceptance scenarios are clearly defined.
• Work with implementation, QA, and customer teams to address UAT feedback and close gaps before launch.

• 5–9 years of product management, business analysis, or domain product experience, with strong hands-on exposure to Warehouse Management Systems.
• Proven experience in building or managing WMS product capabilities in a SaaS or enterprise software environment.
• Strong understanding of warehouse operations including inbound, outbound, inventory management, replenishment, picking, packing, dispatch, returns, and warehouse productivity workflows.
• Strong experience in writing PRDs, user stories, workflows, acceptance criteria, and non-functional requirements.
• Ability to work closely with engineering teams on APIs, business logic, integrations, configuration models, validations, and operational edge cases.
• Experience working with cross-functional stakeholders across Engineering, QA, Delivery, Support, Customer Success, and Sales.
• Strong stakeholder management and customer-facing experience.
• Strong analytical thinking, prioritization, and problem-solving skills.
• Excellent written and verbal communication with the ability to articulate ideas clearly and crisply.
• Hands-on experience using Aha!, Jira, and Confluence or equivalent tools.

• 5+ Experience in eCommerce, logistics, supply chain, or B2B SaaS platforms.
• Bachelor’s degree in Engineering, Supply Chain, Operations, Business, Technology, or a related field.
• MBA or postgraduate qualification is preferred.
• Prior experience in SaaS, supply chain technology, logistics technology, or warehouse operations products is preferred.
• Exposure to adjacent systems and advanced warehouse ecosystems such as:
• TMS
• Labour Management Systems
• Robotics / AMR
• Yard & Dock Management
• WES / WCS
• Exposure to warehouse automation, control systems, and enterprise integrations is good to have.
• Experience working with global customers, multi-warehouse environments, or large-scale implementations is an advantage.
• Prior warehousing domain experience through product, consulting, operations, or implementation roles will be an added advantage.
• Exposure to omni-channel commerce, order orchestration, warehouse operations, parcel tracking, and ecosystem integrations is preferred.
• Understanding of architecture, integration platforms, middleware concepts, webhooks, APIs, and enterprise integration design patterns is preferred.
• Familiarity with cloud platforms (AWS, GCP, Azure) and microservices architecture.
• Certifications in Scrum/Agile methodologies is preferred.
• Advanced understanding of business process analysis.
• Expertise with APIs, XMLs and JSONs.
• Work with the latest and most in-demand technologies, concepts, and approaches, including DevOps, Microservices, IoT, and more.
• Ability to work effectively as part of a lean team and willing to take on responsibility.
• Strong analytical skills with proficiency in data analysis tools and techniques.
• Excellent communication and collaboration skills, with the ability to influence cross-functional teams and stakeholders.
• Detail-oriented with a strategic mindset and a passion for driving product innovation and growth.

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:

We are looking for an enthusiastic GCP Data Engineer to join our dynamic and growing project team. In this role, you will have the opportunity to develop your skills while contributing to large-scale data projects on Google Cloud Platform. You will work closely with senior engineers and  data analysts to build and maintain robust data pipelines, helping to turn raw data into actionable insights. This is an excellent opportunity for a foundational career in data engineering within a supportive and collaborative environment.

Key Responsibilities:

• Develop, test, and maintain data pipelines and ETL/ELT processes using Python, SQL, and GCP services.
• Write and optimize complex SQL queries in BigQuery for data transformation, extraction, and analysis.
• Assist in the design and implementation of data models within our data warehouse.
• Collaborate with the broader project team to understand data requirements and deliver effective solutions.
• Troubleshoot and resolve issues in data pipelines and data quality to ensure accuracy and availability.
• Contribute to documentation and adhere to data engineering best practices.
• Support the team in various data-related tasks and be eager to learn new technologies and techniques.

Required Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 10-12 years of experience with strong programming skills in Python for data manipulation and processing.
• Proficiency in SQL for querying and data transformation.
• Hands-on experience or significant project work with Google Cloud Platform (GCP).
• Familiarity with core GCP data services, particularly BigQuery and Pub/Sub.
• Strong understanding of data warehousing concepts and ETL/ELT processes.
• A proactive and curious mindset with strong problem-solving skills.
• Excellent communication and teamwork skills, with the ability to work effectively in a large project team.

Preferred Qualifications:

• Experience with other GCP services such as Cloud Composer (Airflow) or Dataflow, Cloud Functions.
• Familiarity with version control systems, especially Git.
• Google Cloud certification (e.g., Associate Cloud Engineer) is a plus.
• A passion for data and a strong desire to grow a career in the data engineering field.

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

Role: GCP Data Engineer 

Job Summary:

We are looking for an enthusiastic GCP Data Engineer to join our dynamic and growing project team. In this role, you will have the opportunity to develop your skills while contributing to large-scale data projects on Google Cloud Platform. You will work closely with senior engineers and data analysts to build and maintain robust data pipelines, helping to turn raw data into actionable insights. This is an excellent opportunity for a foundational career in data engineering within a supportive and collaborative environment.

Key Responsibilities:

· Develop, test, and maintain data pipelines and ETL/ELT processes using Python, SQL, and GCP services.

· Write and optimize complex SQL queries in BigQuery for data transformation, extraction, and analysis.

· Assist in the design and implementation of data models within our data warehouse.

· Collaborate with the broader project team to understand data requirements and deliver effective solutions.

· Troubleshoot and resolve issues in data pipelines and data quality to ensure accuracy and availability.

· Contribute to documentation and adhere to data engineering best practices.

· Support the team in various data-related tasks and be eager to learn new technologies and techniques.

Required Qualifications:

· Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

· 5-8 years of hands-on experience with strong programming skills in Python for data manipulation and processing.

· Proficiency in SQL for querying and data transformation.

· Hands-on experience or significant project work with Google Cloud Platform (GCP).

· Familiarity with core GCP data services, particularly BigQuery and Pub/Sub.

· Strong understanding of data warehousing concepts and ETL/ELT processes.

· A proactive and curious mindset with strong problem-solving skills.

· Excellent communication and teamwork skills, with the ability to work effectively in a large project team.

Preferred Qualifications:

· Experience with other GCP services such as Cloud Composer (Airflow) or Dataflow, Cloud Functions.

· Familiarity with version control systems, especially Git.

· Google Cloud certification (e.g., Associate Cloud Engineer) is a plus.

· A passion for data and a strong desire to grow a career in the data engineering field.

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.