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Tier-1 brand, metro location, and mid-level role increase competitive applicant density.
Technical data engineering skills are generally transferable across industries despite financial reporting context.
Multiple mandatory technical skills (Oracle, Control‑M, Python, CI/CD) create moderate shortlisting filters.
Maintain and improve data platform reliability, focusing on pipeline stability, data quality, and delivery cadence across multiple workstreams.
Perform impact analysis, debugging, and maintenance on Oracle database objects (procedures, functions, views) within CSP modules.
Manage and automate job scheduling and data workflows using Control-M and Python, ensuring end-to-end delivery with CI/CD tools like UD and Jenkins.
Strong hands-on Oracle SQL and PL/SQL skills with experience in impact analysis and debugging.
Experience with Control-M for workflow scheduling and monitoring.
Proficiency in Python for data engineering or automation tasks.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced data engineer comfortable working independently and leading initiatives without formal coordination.
Familiarity with CI/CD pipelines using tools such as UD and Jenkins for rapid development and deployment.
Capable of collaborating proactively within cross-functional engineering teams to drive delivery and status reporting.