ETL Test Lead with AZURE Cloud and Data bricks

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Multiple Locations : Chicago , Atlanta , Texas , Richmond , New York

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.

Key Responsibilities

• 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

Required Skills

• 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.

The base compensation range for this role in the posted location is $88837 to $108569

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off …