PSI (Proteam Solutions) is seeking a Data Quality Engineer with a strong analytical mindset and extensive experience in data quality engineering. The role involves building data quality checks, conducting data profiling, and collaborating with engineering teams to resolve data issues.
Responsibilities:
- Strong Python and SQL skills are essential for building data quality checks
- Expertise in data profiling and anomaly detection techniques
- The candidate must be comfortable reading and interpreting code written by others, enabling them to trace identified data issues back to their source within pipeline logic and communicate findings clearly to engineering teams
- Experience with test automation frameworks and quality process development is expected
- Strong documentation skills and the ability to define and track quality metrics round out the profile
Requirements:
- 5+ years data quality engineering experience
- Databricks and SQL Server testing
- Data validation frameworks (Collibra, Great Expectations)
- Test automation frameworks
- Python and SQL for data quality checks
- Data profiling and anomaly detection
- Documentation and quality metrics
- Healthcare data validation experience