ETL QA Engineer

Los Angeles, California, United StatesOnsiteFull TimePosted 2 months ago

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Role summary

Seeking an ETL QA Engineer with expertise in Agile methodologies and a strong understanding of the Property & Casualty Insurance domain. The role involves validating source-to-target data mappings, performing data reconciliation, verifying ETL transformations, and ensuring end-to-end data flow accuracy. Responsibilities include creating test strategies, designing and executing various test cases (full loads, incremental loads, etc.), identifying and tracking defects, and collaborating with developers and business SMEs. Proficiency in SQL and SDLC/STLC is required. Nice-to-have skills include knowledge of Snowflake architecture and Guidewire Policy Center.

Must Have Technical/Functional Skills

• Agile & Scrum Expertise

• Analytical & Decision‑Making Skills

• Communication & Stakeholder Management

• Technical & Domain Awareness: Property & Casualty Insurance domain(Auto, Home, Umbrella LOBs)

• Common Tools & Artifacts: Rally

Key Responsibilities:

• Validate source to target data mappings for accuracy and business correctness.

• Perform data reconciliation between source systems and target databases.

• Verify ETL transformations, aggregations, calculations, and derivations.

• Perform end to end data flow validation (Source → Staging → Target).

• Validate business transformation rules against functional requirements.

• Ensure compliance with domain specific rules (property & casualty insurance)

• Collaborate with Business SMEs to ensure data meaning is preserved after transformation

• Create and maintain: ETL test strategy, Test scenarios and test cases, Data validation checklists

• Design test cases for: Full loads, Incremental loads, Delta and historical data loads

• Execute testing for: Smoke testing, System Integration Testing (SIT), UAT support, Reconciliation and regression testing

• Identify, log, and track ETL defects with clear root cause analysis.

• Work closely with ETL developers and data engineers to resolve issues.

• Validate defect fixes through re testing and impact analysis.

• Produce data quality and test execution reports.

Required Skills and Experience:

• Hands-on experience in executing projects in Agile methodology

• Strong experience in ETL testing and data validation.

• Solid understanding of ETL architecture and data pipelines.

• Hands on expertise in SQL (advanced queries, joins, aggregates).

• Strong understanding of SDLC / STLC, especially in data centric projects

Nice to Have:

• Technology Awareness

• Communication & Influence Skills

• Leadership & Soft Skills

• Coaching & Facilitation

• Risk management

• Understanding on Snowflake architecture

• Knowledge on Guidewire Policy center - Create submissions, policy changes on GWPC screens for validations.

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