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Common mid-level QA title, Bangalore metro location, and 3–5 year experience bracket increase competition.
Databricks and ETL testing focus increases domain specificity, though SQL and testing skills remain transferable.
Mandatory 3–5 years plus Databricks, SQL, PySpark and ETL testing skills enforce strict shortlisting.
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Validate data in Databricks Delta tables across Bronze, Silver, and Gold layers ensuring accuracy, completeness, and consistency.
Execute source-to-target data validation, reconciliation, and verify data transformations, business rules, and aggregation logic using strong SQL skills.
Manage defect lifecycle using JIRA, create and execute test cases for ETL/ELT pipelines, and prepare test execution reports while collaborating with Data Engineers and participating in Agile ceremonies.
3–5 years of experience in Data Testing, ETL Testing, or Data Validation.
Hands-on experience with Databricks platform and Delta Lake.
Strong proficiency in SQL, experience with JIRA for defect tracking.
Experience in Agile/Scrum work environments.
Experienced in validating complex data pipelines in Databricks environments with emphasis on data accuracy and integrity.
Comfortable working in Agile teams and managing defect resolutions collaboratively with engineering teams.
Skilled in both manual testing and familiar with data quality frameworks and test automation tools, with exposure to Azure Databricks and basic PySpark/Python knowledge.