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Senior data engineer role, metro location, common title and broad required skills drive high competition.
Healthcare data domain and specific tooling (DBT, Snowflake, clinical data) make background fit highly sensitive.
Explicit 8–12 years plus multiple mandatory technologies and healthcare domain expertise makes shortlisting strict.
Design, execute, and maintain comprehensive test plans and automation frameworks for data platforms including Snowflake and DBT models.
Perform manual and automated ETL/ELT testing, data validation, reconciliation, and quality checks focusing on healthcare data compliance.
Collaborate with cross-functional teams to ensure data pipelines and transformations meet business requirements and maintain defect tracking using JIRA/Azure DevOps.
8 to 12 years of relevant experience in data engineering QA, ETL/Data Warehouse testing, and automation testing.
Strong expertise in Snowflake Testing, DBT, SQL data validation, and test automation tools such as Selenium, Playwright, or Cypress.
Experience with test planning, defect management tools (JIRA, Azure DevOps), and Agile/Scrum methodologies.
Healthcare domain experience including Claims, Member, Provider, Clinical, and Healthcare Analytics data.
Experienced QA professional with strong technical skills in SQL and data warehouse testing, specifically on Snowflake and DBT platforms.
Demonstrated track record in managing end-to-end testing cycles in healthcare data environments with compliance and quality adherence.
Comfortable working in Agile environments collaborating with Data Engineers, Business Analysts, and Product Teams for test strategy and execution.