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Metro location and 3-5 year mid-level experience increase applicant competition, but specialized tooling narrows pool.
ETL and batch operations skills transfer across industries but financial domain preferences moderately constrain fit.
Explicit 3–5 years plus mandatory Airflow, scheduling tools, AWS and ServiceNow requirement increases strictness.
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Manage end-to-end batch and ETL data operations ensuring data quality, integration, and timely distribution.
Monitor and optimize data pipelines supporting scalable, high-availability platforms primarily in financial services context.
Develop operational reports, KPIs, and frameworks to support data governance, process improvements, and technology decisions.
Bachelor’s degree or equivalent experience in Data Operations, ETL, Batch Processing, or related fields.
3-5 years of relevant work experience specifically in batch and ETL operations.
Experience with workload scheduling tools like AutoSys, BMC Control‑M, or equivalent.
Hands-on experience with AWS including Apache Airflow and ServiceNow modules (Incident, Change, Problem, etc.).
Experienced in financial or wealth management data environments or similar regulated industries.
Comfortable managing complex, high-availability data operations with adherence to operational discipline and governance.
Proficient in cross-team collaboration and documentation to support process improvements and shift-based operational support.