Must have Databricks, Python, SQL and PySpark
- 10+ years in data QA/testing, with at least 5 years in a lead role.
- Strong expertise in Azure Databricks (Delta Lake, Delta Live Tables, Unity Catalog).
- Hands-on experience with Azure Data Factory (pipelines, monitoring, CI/CD).
- Proficiency in Python, PySpark, SQL for test automation.
- Familiarity with Great Expectations, Azure DevOps, and Collibra.
- Knowledge of data governance, PII compliance, and data quality frameworks.
- Experience in CI/CD pipelines, DevOps practices, and cloud data platforms.
- Strong communication and leadership abilities for cross-functional teamwork.
- Experience with Agile/Scrum methodologies is plus. Preferred Qualifications
- Experience with HL7/FHIR data models beyond payer use cases.
- Experience with Lakehouse architecture and medallion design patterns.
- Familiarity with BI tools (Power BI, Tableau) to validate reporting layer data.
- Understanding of data governance platforms (e.g., Collibra).
- Knowledge of automation frameworks for data QA and pipeline regression testing.
Certifications: Microsoft Certified: Azure Data Engineer Associate, Databricks Certified Data Engineer