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Niche ETL and scheduler skills but metro location and mid-seniority increase applicant density.
Core ETL and orchestration skills are transferable across industries, though financial domain knowledge is preferred.
Explicit 7–10 years requirement plus mandatory Airflow, Control‑M/AutoSys, AWS, and ServiceNow filters.
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Manage end-to-end batch and ETL data operations ensuring high data quality, accuracy, and compliance with governance policies.
Collaborate with Data Engineering and Product teams to maintain and optimize scalable, high-availability data platforms and operational controls.
Own frameworks for deploying and scaling Data Operations solutions including monitoring, reporting, and continuous process improvement.
7-10 years of experience in Data Operations, ETL, Batch Processing or related fields.
Bachelor's degree or equivalent experience in relevant fields; financial services experience preferred.
Experience with workload scheduling tools like AutoSys or BMC Control-M and strong expertise in AWS including Apache Airflow.
Hands-on experience with ServiceNow modules for Incident, Change, Problem, and reporting management.
Experienced in managing large-scale, high-availability data operations within cloud-based environments, preferably in financial services.
Skilled in defining and tracking data quality KPIs and designing operational controls in partnership with engineering teams.
Capable of driving strategy, process documentation, governance, and modernization initiatives in Data Operations practice.