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Data QA Engineer
Sparix Global. · India
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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.