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Mid-level ETL/data QA in Hyderabad with common 3–5yr band and generalist SQL skills.
Technical ETL testing skills are broadly transferable, though life-sciences domain familiarity is a modest plus.
Explicit 3–5yr requirement and mandatory ETL/DW and strong SQL skills enforce strict screening.
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Validate ETL workflows through creation and execution of test cases and scenarios.
Perform source-to-target data validation and write complex SQL queries to verify data accuracy.
Collaborate with ETL developers, data engineers, and business analysts; support UAT and production validation; track defects using Jira or similar tools.
3–5 years of experience in ETL/Data Warehouse testing.
Strong SQL skills including joins, subqueries, window functions, and aggregations.
Experience with ETL testing concepts, Data Warehouse concepts (Fact & Dimension tables, Star/Snowflake schema), and defect tracking tools (Jira, Azure DevOps, GitHub).
Working knowledge of Databricks or Snowflake and Unix/Linux commands.
Experienced in Agile/Scrum methodology and comfortable in cross-functional collaboration with developers and analysts.
Capable of performing various types of testing: functional, regression, integration, and data quality.
Familiarity with related tools and technologies such as Python/PySpark, Cloud platforms (Azure, AWS, GCP), and CI/CD tools is advantageous.