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QA Automation Engineer – Data Migration & Databricks Validation
Posted via LinkedIn Recruiter (not a company profile)
Posted 3 days ago
About the role
- QA Automation Engineer needed to validate complex data transformations and ETL outcomes in a Databricks environment for a financial client.
Responsibilities
- Design, build, and maintain automated data validation scripts for ETL and data pipelines. Validate large-scale data volumes across transformations and pipeline outputs. Perform SQL-based testing and verification using SSMS and database queries. Test and assess Python-based processes to confirm data correctness and reliability. Verify data quality for ingested files, structured outputs, and downstream datasets. Ensure testing coverage for backend/data workflows in environments with no UI testing. Support quality practices within Databricks-based development workflows.
Requirements
- Strong QA automation experience in data-centric environments. Experience validating large volumes of data and ETL pipelines. Advanced SQL skills with hands-on SSMS experience. Ability to write and maintain automated data validation scripts. Experience testing Python scripts. Experience validating data files, transformations, and data quality. Exposure to Databricks and Unity Catalog. Ability to work effectively in back-end/data testing only (no UI testing).
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