Job Description
- Perform data quality testing, including checks for completeness, accuracy, validity, and consistency.
- Identify missing values, nulls, duplicates, outliers, and other data anomalies.
- Create test cases and test scenarios for data pipelines, data warehouses, ETL/ELT processes, and data APIs.
- Validate data mappings, business rules, and transformation logic.
- Document test results, issues, and findings in a clear and structured manner.
- Work closely with data engineers and analysts to understand data flow and resolve data quality issues.
- Monitor data quality trends and highlight recurring problems.
- Support the team in improving data validation processes and test coverage.
Qualifications
- Understanding of data warehouse and data mart concepts.
- Understanding of ETL/ELT principles.
- Basic SQL skills (e.g., simple SELECT, WHERE, and GROUP BY queries).