Quality Engineer
Tasks
- Build and test Databricks notebooks
- Check referential integrity
- Create automated scripts for data validation
- Create test data and traceability matrices
- Create test plans and test cases
- Develop test automation strategy
- Ensure data completeness
- Execute system integration testing
- Monitor and report defects
- Perform API testing
- Perform SQL data validation and reconciliation
- Perform cross reference validation
- Support UAT with stakeholders
- Test ETL pipelines
- Test for schema drift
- Validate data lineage
- Validate source to target mapping
- Verify data deduplication
Perks/Benefits
- N/A
Skills/Tech-stack
API Testing | Automation strategy | Azure Data | Azure Data Factory | CI/CD | Case design | Data Factory | Data Lineage | Data Reconciliation | Data Validation | Data completeness | Databricks | Deduplication | Defect Management | Delta Lake | ETL Testing | GitHub | Integration Testing | JSON | JSON API | Microsoft SQL | Microsoft SQL Server | Postman | PySpark | Python | REST API | REST API testing | REST/JSON | REST/JSON API | Referential Integrity | SQL | SQL Server | Schema drift | Source-to-Target Mapping | System Integration | System Integration Testing | Test Case | Test Case Design | Test automation | Test automation strategy | XML
Education
Roles
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