Senior Data Quality Engineer
Tasks
- Build automated checks for schema validation and data integrity
- Collaborate to define data quality standards and acceptance criteria
- Design and implement testing frameworks for data pipelines
- Develop reusable validation patterns with Great Expectations
- Ensure data quality across Medallion layers Bronze Silver Gold
- Implement data transformation validation
- Integrate data testing into CI CD pipelines
- Investigate data quality issues and drive root cause resolution
- Leverage AI assisted development tools to accelerate test generation
- Monitor data reliability observability and test coverage
- Validate ingestion from APIs SQL Server and flat files
Perks/Benefits
Skills/Tech-stack
Apache Spark | Azure Databricks | Azure DevOps | CI/CD | DBT | DQX | Data Monitoring | Data Observability | Data quality framework | Databricks Data Quality Framework | Delta Lake | GitHub Actions | Great Expectations | Prompt engineering | PySpark | Python | Quality Framework | SQL | Unity Catalog
Education
N/A
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