> Markdown version of [/jobs/ext/2567995-etl-test-lead-with-azure-cloud-and-data-bricks](https://www.wearedevelopers.com/jobs/ext/2567995-etl-test-lead-with-azure-cloud-and-data-bricks). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ETL Test Lead with AZURE Cloud and Data bricks - **Company:** Capgemini - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $88,837.0 - $108,569.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, JIRA, Microsoft Azure, Big Data, Software Bug Management, Cloud Computing, Data Governance, Data Hub, Extract Transform Load (ETL), Data Transformation, Data Migration, Data Warehousing, Relational Databases, Database Testing, Dimensional Modeling, HP Quality Centers, PostgreSQL, Microsoft SQL Server, Oracle (Applications), Systems Development Life Cycle, SQL Databases, Software Testing Automation Framework, Guidewire ClaimCenter, Enterprise Software Applications, Snowflake, Guidewire PolicyCenter, Star Schema, Guidewire BillingCenter, Tools for Reporting, Data Delivery, Databricks - **Published:** August 13, 2026 - **Apply:** https://www.manhattanjobs.com/job.asp?id=3351753144&tx=HT7468TYV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role We are seeking an experienced ETL Test Lead to lead large data warehouse and ETL testing initiatives. The ideal candidate will have strong expertise in validating data integration, data migration, data quality, and reporting solutions. The role involves leading a testing team, coordinating with business and technical stakeholders, and ensuring high-quality data delivery across enterprise applications., * Must -12 to 15 years' experience in Data Testing, ETL, Reporting, Data Automation skills etc.. * Must -Minimum 5 to 8 years' experience at onsite role, handled multi-vendor and multi-stake holders at client side * Must - Must have experience in Large data testing transformation program at least for 2 projects * Must -Microsoft Azure cloud platform is must - Minimum 4 to 6 years hands on experience in Databricks, ADF, BI Reporting * Must -Ability to lead 6 to 10 offshore team for multiple workstream. This project involves multi workstream minimum 3 to 5. Each workstream will be 1 or 2 people * Onsite lead should be capable to lead all workstreams * Must - 50% Lead activities and 50% hands on responsibility for the project * Must - Insurance domain experience (Home, Auto, Commercial etc.. ) * Must- Collaborate all project stake holders with minimal supervision from Capgemini as well as Vendors * Preferred - Financial Data repo or Financials Data Hub and downstream General Ledger experience. * Preferred - Any automation data testing tool is preferred in cloud, * Advanced proficiency in SQL and database testing across platforms including Databricks, Oracle, SQL Server, PostgreSQL, Snowflake, and other relational databases. * Proven experience validating complex data transformations, aggregations, data migration processes, and ensuring data accuracy through rigorous source-to-target validation. * Solid understanding of dimensional modeling, including Star Schema and Snowflake Schema, along with experience using defect management tools such as Jira, Azure DevOps, and Quality Center. * Strong knowledge of SDLC, STLC, Agile, and Waterfall methodologies, with exposure to ETL test automation frameworks and excellent leadership, communication, and stakeholder management skills. Nice to have skills * Strong knowledge of Guidewire PolicyCenter, ClaimCenter, and BillingCenter data models and business processes. * Data governance and data quality testing knowledge. * Experience working in Insurance domain. * Relevant certifications in testing, data warehousing, or cloud technologies are advantageous. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [PoC “Austria Experience Data Hub”](https://www.wearedevelopers.com/videos/92-poc-austria-experience-data-hub) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The 8 Best Code Testing Tools](https://www.wearedevelopers.com/magazine/402-the-8-best-code-testing-tools) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)