Data QA Engineer / Data Quality Engineer (m/w/d)
- Conduct data reconciliation cross system validation
- Create test scenarios and test cases
- Develop automated data validation frameworks
- Develop test strategies
- Execute functional, integration, system, regression testing
- Investigate and troubleshoot data defects
- Manage defect lifecycle
- Perform API testing using Postman
- Perform ETL end to end testing
- Perform SQL data validation and analysis
- Test Azure Databricks and Azure Data Lake storage solutions
- Track and report testing progress and quality metrics
- Validate Azure Data Factory pipelines
- Validate data extraction, transformation, and loading
- Validate integrated applications data exchange
Perks/Benefits:
- Cross-functional collaboration
- Training opportunities