We have an immediate requirement for a Data QA Engineer . Please share relevant profiles matching the below requirements.

Position: Data QA Engineer
Experience: 5+ years
Location: Remote (Visit client office in Bangalore once in 6 months if needed, all expenses will be bear by Softude)

Key Skills - Mandatory
Strong experience in Data QA / Data Quality Testing
Hands-on experience with Azure Databricks
Strong SQL skills
Positive experience in ETL Testing
Hands-on experience in Data Reconciliation
Experience with Source-to-Target Data Validation
Good experience in Python Scripting for data validation/testing
Robust understanding of data quality, data integrity, and validation
Experience in defect tracking, RCA, and defect closure
Experience preparing test cases, test evidence, traceability, and QA status reports
Ability to independently manage QA activities, dependencies, and release readiness

Key Responsibilities
Perform end-to-end data validation across source and target systems.
Validate ETL pipelines, transformations,



and data accuracy.
Perform data reconciliation and identify data discrepancies.
Use SQL, Python, and Databricks for data validation and analysis.
Track defects through closure and perform RCA for data issues.
Maintain complete test evidence and traceability.
Provide timely QA status updates and highlight risks/dependencies.
Support release readiness and QA sign-off activities.

Important: Please share bench profiles with solid hands-on experience in Azure Databricks + ETL Testing + SQL + Data Reconciliation + Python . Kindly avoid sending generic/manual QA profiles without relevant data testing experience.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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