Data QA Engineer

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
• •Good 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
• •Strong 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 strong hands-on experience in Azure Databricks + ETL Testing + SQL + Data Reconciliation + Python . Kindly avoid sending generic/manual QA profiles without relevant data testing experience.