[Hiring] Data QA Engineer @Sparix Global.

Role Description

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 borne by Softude)

Qualifications

• 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

Requirements

• 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, and Python. Kindly avoid sending generic/manual QA profiles without relevant data testing experience.