IT Software Quality Engineer (ETL / Big Data)
Tasks
- Conduct data reconciliation
- Create test strategies
- Develop ETL automation frameworks
- Develop test scenarios and test cases
- Ensure integration between cloud data services
- Execute functional, integration, system, and regression testing
- Identify quality risks and drive mitigation
- Maintain automated data validation utilities
- Manage defect lifecycle
- Perform API testing
- Perform ETL testing
- Perform SQL data validation and analysis
- Test Azure Data Lake data storage
- Test Azure Databricks data processing
- Track and report testing progress and quality metrics
- Troubleshoot data defects and inconsistencies
- Validate Azure Data Factory pipelines
- Validate data extraction, transformation, and loading
- Validate data transformations joins and aggregations
Perks/Benefits
- N/A
Skills/Tech-stack
API Testing | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Gen2 | Azure Databricks | Azure DevOps | Big Data | Big Data Testing | Data Factory | Data Lake Gen2 | Data Pipeline Testing | Data Quality | Data Reconciliation | Data Testing | Data Validation | Data pipeline | ETL Testing | Manual Testing | Pandas | Pipeline testing | Postman | PySpark | Python | SQL | Test Execution | Test Planning | Test automation
Education
Regions
Countries
States
Cities
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