Data Engineer - Quality Assurance

Key Responsibilities: Automate data quality and reconciliation checks across varied storage layers, including Snowflake, SQL, and RDF/SPARQL databases Test and verify data lineage, governance, and visualization components using Snowflake, data catalogs (ie. DataHub), Thoughtspot, and other visualization tools Integrate test suites into the core infrastructure orchestrated by Apache Airflow and utilizing Iceberg table formats, while monitoring data pipeline health, alerting, and observability metrics using Prometheus and Grafana Cloud Establish AI Evaluation Loops (Evals) and Guardrails: Build rigorous verification protocols— including structural tests, checks, and watchdog agents—to validate AI-generated artifacts, catch false positives, and ensure all automated outputs are secure, reliable, and free from hallucinations. Integrate automated testing workflows into CI/CD pipelines using GitHub Actions, ensuring continuous stability and quality gates across all deployment environments Val...