Job Description

Senior QA Engineer - ETL & Data Platform (6-8 years)

Responsibilities

  • Own end-to-end test strategy for data pipelines (ingestion → transformation → consumption) across environments (Dev/Test/Prod).
  • Design & implement automation frameworks in Python for ETL/ELT validation (schema, DQ, business rules, transformations, aggregations, deduplication, SCD logic).
  • Build reusable test libraries for Databricks notebooks/jobs, tables, and SQL validation.
  • Implement CI/CD-integrated tests (integration, and regression) for data workloads.
  • Covert Manual use cases to automated test cases and provide end to end coverage.

Required Qualifications

  • 6-8 years in QA/Testing with at least 3+ years focused on data/ETL testing in cloud environments.
  • Strong hands-on with Python for test automation (PyTest/Unittest), data manipulation (Pandas, PySpark), and API/CLI automat...

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