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.

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.