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Niche ETL/data QA role with moderate employer brand and metro locations yields medium candidate competition.
Data testing skills transfer across industries but healthcare domain experience moderately increases fit sensitivity.
Explicit 7–10 years plus mandatory ETL, cloud, SQL, and tooling skills create strict shortlisting filters.
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Design and execute test plans and test cases for ETL/ELT data pipelines ensuring data accuracy, completeness, and integrity.
Validate complex ETL/ELT processes including data mapping, transformations, and Slowly Changing Dimension (SCD) models using SQL and related tools.
Manage defect lifecycle and collaborate cross-functionally with data engineers, analysts, and business stakeholders in an Agile environment.
7 - 10 years of relevant work experience in ETL/Data Warehouse testing and data validation.
Engineering degree required (BE/ME/BTech/MTech/BSc/MSc).
Mandatory skills: ETL mapping document analysis, SQL (complex queries), ETL/ELT testing, Cloud platforms (Snowflake, Databricks, Azure/AWS/GCP), Python scripting for test automation or data validation, experience with data pipeline tools like ADF or Informatica.
Location flexibility for Mumbai, Pune, or Bangalore.
Experienced in hands-on validation of ETL/ELT data flows across cloud platforms with proficiency in SQL and Python scripting for automation or data validation.
Comfortable collaborating within Agile teams and has experience managing defect lifecycle and coordinating with multiple stakeholders (data engineers, analysts, business).
Knowledgeable in data models, SCD concepts, BI/report testing tools (Power BI, Tableau), and API/integration testing to ensure comprehensive data quality.