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ETL QA Engineer

Job in Woodland Hills, Los Angeles County, California, 91364, USA
Listing for: United IT
Full Time position
Listed on 2026-06-28
Job specializations:
  • IT/Tech
    IT QA Tester / Automation, Data Engineering, Data Analyst
Job Description & How to Apply Below
Location: Woodland Hills

ETL QA Engineer

Woodland Hills, Los Angeles, CA

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 Gui dewire Policy center - Create submissions, policy changes on GWPC screens for validations.
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