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Develop, maintain, and troubleshoot data orchestration workflows using Apache Airflow for extract
Build and support reusable engineering components using Python, Scala, and Sharedview Spark to
Design, write, and optimize SQL/PostgreSQL and Starburst/Trino queries for metadata processing
Support Output Gateway production issues, including failed DAGs, delayed extracts, missing files
Contribute to platform engineering and release activities using GitLab, Docker, and controlled
Enhance monitoring, logging, alerting, audit tracking, and automation to improve operational

Strong skills and experience in data engineering using Spark, Scala, and Python.
Experience developing, maintaining, and troubleshooting Apache Airflow workflows for data
Hands-on experience building reusable engineering components to process, transform, and validate
Proficiency in SQL and PostgreSQL, including query design, optimization, metadata processing, data
Experience supporting production data workflows and troubleshooting failed DAGs, delayed extracts
Familiarity with GitLab, Docker, and controlled CI/CD practices across development, UAT, and

Data Engineer

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