Senior Quality Engineer

Key Responsibilities: 
Data Validation & QA:
• Write advanced SQL to validate transformations, joins, aggregations, and business rules across datasets and features.
• Create test plans and acceptance criteria for new data products, features, and model outputs.
Automated Testing & Quality Gates:
• Implement automated data tests (schema, freshness, distribution, reconciliation) using Python and/or data quality frameworks.
• Integrate QA checks into CI/CD pipelines and enforce release quality gates.
Monitoring & Issue Management:
• Set up monitoring for data anomalies and pipeline failures; triage issues and drive root-cause analysis.
• Partner with data engineering and ML Ops to improve observability and reduce recurrence.
Documentation & Governance:
• Document test coverage, known limitations, and lineage; support audits and compliance requirements.
• Promote best practices for data definitions and metric consistency.

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