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Tier-1 employer, remote posting, and broadly appealing QA testing skillset increase applicant competition.
EDW and SQL testing skills transfer across industries, though ETL and enterprise data knowledge increase specificity.
Requires strong SQL and EDW/ETL testing skills but lacks explicit years requirement.
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Lead QA testing focused on data validation, reconciliation, and quality assurance across enterprise data warehouse environments.
Write and run SQL queries to validate data accuracy, completeness, transformation logic, and end-to-end consistency between source and target systems.
Analyze data to identify issues and support resolution, maintain test documentation, and collaborate with cross-functional teams to ensure comprehensive test coverage.
Background in QA testing with strong data validation and data quality focus.
Proficiency in SQL for independent querying, validation, and analysis of datasets.
Strong analytical skills for investigating data issues and accuracy.
Work Experience Required: Not explicitly mentioned in the JD.
Experience in data pipeline, ETL/ELT, and enterprise data warehouse testing environments.
Comfortable working in fast-paced delivery settings with quick onboarding and close collaboration.
Operates effectively within existing teams focusing on data quality and structured test documentation.