Build automated validation frameworks for data pipelines: create schema and data-quality tests, validate outputs, integrate tests into CI/CD, develop reusable utilities, and leverage AI copilots for code generation and debugging.
QA Automation Engineer
Role Overview: Build automated validation frameworks for data pipelines.
Key Responsibilities
Develop automated tests for schema and DQ.
• Validate outputs.
• Integrate tests into CI/CD.
• Create reusable utilities. • Use AI copilots.
Must Have Skills
• SQL and Python for testing.
• Data validation frameworks.
• Strong usage of AI coding copilots (GitHub Copilot, ChatGPT) for code generation, debugging, optimization, and documentation.
Good to Have Skills •
Healthcare domain exposure including Quality measures, Risk Adjustment (HCC/RAF), and HEDIS.
• Exposure to FHIR/HL7 data models and patient/member/provider entities.
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