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Popular mid-level data role, metro location, and generalist skillset increases applicant competition.
Banking ledger and COBOL familiarity plus PL/SQL expertise make cross-industry moves moderately constrained.
Requires specific Oracle PL/SQL production skills and banking knowledge, so screening will enforce technical fit.
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Support, extend, and modernize the metadata-driven financial reporting data integration platform handling 200M+ rows/day across 80+ source applications on Oracle PL/SQL.
Ensure production discipline through rerun safety, parity validation, and ops handoff documentation.
Prepare for potential migration to AWS Databricks with PySpark/Python by validating data results, debugging transformation issues, and translating dynamic SQL to Python.
Proficiency in Oracle PL/SQL including dynamic SQL, partitioned tables, and performance tuning.
Experience with production processes emphasizing rerun safety and parity validation.
Work Experience Required: Not explicitly mentioned in the JD.
Familiarity with data integration or financial reporting platforms is implied but not explicitly stated.
Experienced in Oracle PL/SQL engineering within high-volume, metadata-driven financial data environments.
Capable of managing complex data transformation validation and debugging issues effectively.
Open to working toward or supporting migration to modern data engineering tools like Databricks and PySpark, with ability to translate SQL to Python.