Snowflake Jobs in Gurgaon.
All active Snowflake roles based in Gurgaon.
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Who We Are
Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard working people who are lifelong learners.
About The Role
As a Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions.
What You’ll Do
- Design, build, and manage robust data pipelines and data architectures.
- Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake.
- Optimize data workflows, ensuring reliability, scalability, and performance.
- Collaborate with internal stakeholders to understand data needs and deliver tailored solutions.
- Ensure data security and compliance with industry standards and best practices.
- Perform data modelling, data extraction, transformation, and loading (ETL/ELT).
- Identify and recommend innovative solutions to enhance data quality and analytics capabilities.
Qualifications
- Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
- At least 3 years of professional experience as a Data Engineer or similar role.
- Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake.
- Hands-on experience with data pipeline tools, cloud services, and storage solutions.
- Strong programming skills in SQL, Python, or related languages.
- Experience with big data technologies and concepts (Spark, Hadoop, Kafka).
- Excellent analytical, troubleshooting, and problem-solving skills.
- Ability to effectively communicate technical concepts clearly to non-technical stakeholders.
Nice to have
- Certifications related to Azure Data Engineering, Databricks, or Snowflake.
- Familiarity with DevOps practices and CI/CD pipelines.
Perks and Benefits
- Socials, Outings & Retreats
- One day per week Work From Home flexibility
- Subsidized Lunch
- Culture of Learning & Development
Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.
While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.
Ready to apply?
Apply to Konrad
Who We Are
Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard working people who are lifelong learners.
About The Role
As a Senior Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions.
What You’ll Do
-
- Design, build, and manage robust data pipelines and data architectures.
- Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake.
- Optimize data workflows, ensuring reliability, scalability, and performance.
- Collaborate with internal stakeholders to understand data needs and deliver tailored solutions.
- Ensure data security and compliance with industry standards and best practices.
- Perform data modelling, data extraction, transformation, and loading (ETL/ELT).
- Identify and recommend innovative solutions to enhance data quality and analytics capabilities.
Qualifications
- Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
- 5+ years of professional experience as a Data Engineer or similar role.
- Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake.
- Hands-on experience with data pipeline tools, cloud services, and storage solutions.
- Strong programming skills in SQL, Python, or related languages.
- Experience with big data technologies and concepts (Spark, Hadoop, Kafka).
- Excellent analytical, troubleshooting, and problem-solving skills.
- Ability to effectively communicate technical concepts clearly to non-technical stakeholders.
Nice to have
- Certifications related to Azure Data Engineering, Databricks, or Snowflake.
- Familiarity with DevOps practices and CI/CD pipelines
Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.
While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.
#LI-Hybrid
Ready to apply?
Apply to Konrad
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
About the Role
We are looking for a Lead – Data, RevOps to drive data-backed decision-making across our GTM and Revenue Operations teams.
This role sits at the intersection of data and business and requires someone who comes with a builder mindset to any problem statement thrown at them and scales, maintains and improves these new and existing systems
You will work closely with the growth team leadership and cross-functional teams to ensure that data is insightful, accurate, accessible, and actionable.
Roles & Responsibilities
- Own and manage business-critical data across Revenue, Operations, and GTM functions
- Design and build dashboards and reports using BI tools (e.g., Power BI) to enable real-time visibility into key metrics
- Analyze business performance across pipeline, revenue, and operational metrics to generate actionable insights
- Partner with cross-functional teams (Sales, Marketing, Customer Success, Finance) to support data-driven decision making
- Translate business problems into structured data analysis and scalable reporting solutions
- Automate recurring reporting and workflows using tools like Excel, SQL, and Python to improve efficiency
- Develop and maintain data models and ensure consistency across reporting systems
- Identify gaps in processes and recommend data-backed improvements to enhance operational efficiency
- Support planning and forecasting through data analysis and performance tracking
- Ensure data accuracy, hygiene, and governance across systems and dashboards
- Contribute to building scalable data infrastructure and improving accessibility of insights across teams
- Present insights and recommendations clearly to stakeholders, including leadership
- Lead and manage a team of data analysts, market research, and sales ops ICs
What We’re Looking For
Experience
- 4 - 8 years of experience in Data Analytics, Business Analytics, or Revenue Operations
- Prior experience working with Sales / GTM / Revenue teams is preferred
- Experience is leading a team of analysts is preferred
Technical Skills
- Strong proficiency in SQL
- Hands-on experience with Power BI (or similar BI tools) – Advanced level
- Strong working knowledge of Excel / Google Sheets
- Experience with Python for automation and data processing (preferred)
- Familiarity with data warehouses (e.g., BigQuery, Snowflake, Redshift)
Business & Analytical Skills
- Strong understanding of business metrics across pipeline, revenue, and operations
- Ability to convert ambiguous business problems into structured analysis
- Strong problem-solving and analytical thinking
Soft Skills & Mindset
- High ownership and accountability
- Ability to work in a fast-paced, cross-functional environment
- Strong communication skills, with the ability to work with senior stakeholders
Good to Have
- Experience in B2B SaaS or high-growth startup environments
- Exposure to CRM tools (e.g., HubSpot, Salesforce)
- Experience working on performance tracking, forecasting, or incentive reporting
#LI-PB1
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
We’re looking for a Sr Big Data Engineer who expects more from their career. It’s chance to extend and improve dunnhumby’s Data Engineering Team. It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers.
Key Responsibilities
- Design end-to-end data solutions, including data lakes, data warehouses, ETL/ELT pipelines, APIs, and analytics platforms.
- Architect scalable and low-latency data pipelines using tools like Apache Kafka, Flink, or Spark Streaming to handle high-velocity data streams.
- Design /Orchestrate end-to-end automation using orchestration frameworks such as Apache Airflow to manage complex workflows and dependencies.
- Design intelligent systems that can detect anomalies, trigger alerts, and automatically reroute or restart processes to maintain data integrity and availability.
- Define and implement data governance, metadata management, and data quality standards.
- Lead architectural reviews and technical design sessions to guide solution development.
- Partner with business and IT teams to translate business needs into data architecture requirements.
- Ensure security, compliance, and regulatory requirements are addressed in all data solutions.
- Evaluate and recommend improvements to existing data architecture and processes.
Technical Expertise
- Bachelors or masters degree in computer science, Information Systems, Data Science, or related field.
- Extensive experience with high level programming languages - Python, Java or Scala
- 5+ years of experience in data architecture, data engineering, or a related field.
- Proficient in data pipeline tools such as Apache Spark, Kafka, Airflow, or similar.
- Experience with data governance frameworks and tools (e.g., Collibra, Alation, OpenMetadata).
- Strong knowledge of cloud platforms (Azure or Google Cloud), especially with cloud-native data services.
- Experience working in Agile or DevOps environments.
- Experience with modern data stack tools (e.g., dbt, Snowflake, Databricks).
- Experience with Hive, Oozie, Airflow, HBase, MapReduce, Spark along with working knowledge of Hadoop/Spark Toolsets.
- Extensive Experience working with Git and Process Automation
- In depth understanding of relational database management systems (RDBMS) and Data Flow Development.
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Ready to apply?
Apply to dunnhumby
Senior Data Engineer
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Location: Gurgaon, India
About Us:
Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.
The Role:
We are seeking a highly skilled and motivated Senior Data Engineer to join our global team. As a Senior Data Engineer, you will design, build, and maintain the systems and infrastructure that enable efficient data collection, processing, and analysis. Your work will empower the organization to make data-driven decisions and support advanced analytics and machine learning initiatives.
Responsibilities:
- Design, develop, and maintain robust and scalable data pipelines to extract, transform, and load (ETL/ELT) data from various sources.
- Integrate data from a variety of formats and sources, including APIs, cloud platforms, and on-premise databases.
- Optimize data workflows and processing for performance and reliability.
- Work closely with the AI & data analytics teams to understand data requirements and deliver tailored solutions.
- Collaborate with other engineering teams to design and optimize data architectures, ensuring data availability and consistency across the organization.
- Ensure data quality, integrity, and compliance with organizational and regulatory standards.
- Develop and enforce data governance policies and procedures.
- Monitor and optimize the performance of data infrastructure and pipelines.
- Document data engineering processes, workflows, and infrastructure for transparency and maintainability.
Required Skills:
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. A Master’s degree is a plus.
- 5+ years of experience working as a data engineer or a similar role.
- Strong knowledge of data modeling and schema design.
- Proficient in SQL and some programming languages such as Python.
- Strong working knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery).
- Hands-on experience with ETL/ELT tools and workflows.
- Familiarity with cloud platforms (Google Cloud, AWS, Azure) and their data-related services.
- Knowledge of orchestration / data processing tools (Airflow, dbt).
- Ability to troubleshoot data-related issues and identify root causes.
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.
- Experience with big data tools and platforms (e.g. Kafka, Spark) is a plus
- Excellent communication and collaboration skills.
- Ability to work in a fast-paced, dynamic environment with multiple stakeholders.
This position is required to be in the office 5 days a week.
Please note our privacy terms when applying for a job at Sauce Labs.
Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.
Security responsibilities at Sauce
At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.
Ready to apply?
Apply to Sauce Labs Inc.
Data Engineer
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ABOUT VAYNERX
VaynerX (https://vaynerx.com) is the most contemporary family of companies, working together to build and grow brands. Subsidiaries include VaynerMedia, Eva Nosidam Productions, The Sasha Group, Gallery Media Group, Tingley Lane Trading, VaynerSpeakers, and VaynerCommerce.
VaynerMedia is a global integrated creative and media agency, built for today's consumers. As the Modern Agency of Record, it understands the nuances of today's attention landscape, empowering brands to win attention, drive relevance, and deliver business results. Founded in 2009, by Gary Vaynerchuk, the independently owned agency operates in 15 offices worldwide, including Amsterdam, Bangkok, Chicago, New Delhi, Kuala Lumpur, London, Los Angeles, Mexico City, Miami, New York, Tokyo, Toronto, Singapore, and Sydney. VaynerMedia is part of the VaynerX family of companies.
Culture is our key and Empathy is how we build it. VaynerMedia APAC is strong with a world-class combination of diverse backgrounds collaborating to put forward innovative, creative and strategic solutions to the one advantage that stands the test of time --- PEOPLE.
The PITCH
We are seeking a passionate and driven Data Engineer to help build a next-generation data and measurement platform that powers advanced data solutions for our Fortune 500 clients and internal teams.
As a member of the Data Infrastructure and Visualization team within our Analytics discipline, you will be a key contributor in designing, building, and scaling the reporting and analytics infrastructure that is the backbone for all VaynerMedia clients. In this role, you’ll collaborate closely with internal stakeholders, analysts, and data scientists, while partnering with fellow data engineers to architect and implement robust cloud-based data solutions.
We’re looking for a technically proficient Data Engineer with a strong background in cloud infrastructure and a keen interest in delivering scalable, high-performance data systems that enable actionable insights and strategic decision-making.
Here’s where you come in.
- Develop & implement ETL/ELT solutions leveraging cloud based architecture. Design the ingestion layer and data transformation and normalization to optimize querying performance and reporting outputs
- Debug production issues across our organizations cloud infrastructure
- Highly experienced with SQL scripting language to maintain and troubleshoot queries and processes within cloud based data warehouse
- Expertise in python to help develop and maintain workflows that enhance data automation, data hygiene, and enable efficient connections to 3rd party platforms for data retrieval and storage on cloud based platforms (aws, snowflake)
- Lead data integration projects with 3rd party solutions, with a focus on increasing process efficiencies in a cost-effective manner
- Partner with the Analytics stakeholders to automate and scale processes that improve data utilization and reporting deliverables
- Understanding & Documenting business requirements & technical specifications related to new data integrations. Design and execute unit testing to help mitigate data discrepancies in support of client reporting
Your Experience
- 3 to 5 years of data engineering experience, particularly in support of cloud based data warehouse
- Strong knowledge of working in Snowflake and AWS (Redshift, Athena, Lambda)
- Expert in hands on Python development
- Expertise in building ETL/ELT pipelines in an cloud based data warehouse
- Experience with 3rd party data ingestions and normalization via APIs, peer-to-peer networks, SFTP, etc
- Well versed with leading requirement gathering sessions across verticals (analytics, media, or finance teams)
- Adapt communication style to relevant audiences (from technical teams to non-technical stakeholders)
- Communicates effectively via emails and in presentations
- Present complex ideas in practical terms to non technical stakeholders
What you should know about VaynerMedia
Think “lab” and not “agency”. We get excited about solving business problems, not creating advertising for the sake of making advertising. Our entrepreneurship DNA runs deep. We’re willing to break rules, try new things, and test hypotheses if it means better understanding our craft. It’s fun!
Our environment (and pace) feels much more like a start-up than most agencies you might be used to. Hopefully that, and the opportunity to collaborate with the talented and enthusiastic crew, work with big brands excites you, as it does us. We can’t wait to meet you.
Ready to apply?
Apply to VaynerMedia LLC