Responsibilities
- Verify data correctness across data pipelines, ensuring alignment between older and updated systems.
- Create and manage reconciliation processes to evaluate output consistency between legacy and upgraded pipelines.
- Conduct acceptance testing for data pipelines before they go live.
- Assess the precision of identity resolution, including match rates and false positives or negatives.
- Design and sustain automated regression testing frameworks to maintain continuous data quality.
- Carry out data profiling to uncover irregularities and inconsistencies.
- Map and document data lineage across up to 18 different domains.
- Work with Data Engineering and Analytics teams to confirm data assets are production-ready.
Work Arrangement
Hybrid
