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Design and implement automated data quality frameworks and tests for BigQuery-based pipelines. Collaborate with data engineers and product to define data contracts and quality gates, build observability and anomaly detection, validate complex ELT/ETL processes, and integrate data tests into CI/CD workflows. Drive improvements in documentation, governance, and pipeline reliability.

Lead design and implementation of automated data quality frameworks and monitors for BigQuery pipelines. Collaborate early with data engineers and PMs to define data contracts, build tests in Python/SQL, integrate data tests into CI/CD, and improve data governance and observability for ETL/ELT workflows.