Validate data accuracy and ensure production readiness by working closely with the Data Engineering Manager and Analytics Engineering Lead across 18 data domains.
Design and build a reconciliation framework to systematically compare legacy pipeline outputs against new pipeline outputs, identifying discrepancies and gaps.
Execute structured acceptance testing for each pipeline prior to promotion to production environments.
Validate identity resolution accuracy through rigorous analysis of match rates, false positives, and false negatives.
Document end-to-end data lineage across all 18 domains to support auditability, transparency, and regulatory compliance.
Build and maintain automated regression test suites to enable continuous quality assurance as pipelines evolve.
Qualifications
Expert-level SQL skills, with demonstrated ability to...