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Tier-1 brand, metro location, and a mid-level generalist data role increase competition.
Data engineering skills are transferable across industries, though Oracle and Control‑M experience suggests moderate finance-context preference.
Mandatory Oracle PL/SQL, Control‑M, and Python skills create moderate hiring filters without explicit years requirement.
Own and improve data platform stability, pipeline reliability, and data quality across CRDB and reporting workstreams.
Perform impact analysis, debugging, and support workflow scheduling with Control-M and Python automation.
Drive end-to-end delivery of data engineering and automation initiatives collaborating with other engineers, ensuring minimal supervision.
Strong Oracle SQL and PL/SQL expertise with impact analysis and debugging skills.
Hands-on experience with Control-M scheduling and monitoring workflows.
Python programming experience for data engineering or automation tasks.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced data engineer comfortable handling operational stability and proactive platform improvements in financial services context.
Self-directed ownership mindset capable of leading initiatives and collaborating cross-functionally without formal coordination.
Familiarity with CI/CD pipeline tools such as UD and Jenkins to enable deployment automation.