Data Engineer - Control M

: • Develop and maintain Oracle PL/SQL procedures, packages, functions, triggers, and complex SQL queries. • Build and support data extraction, transformation, and loading (ETL) processes. • Develop Python scripts for data processing, automation, validation, and reconciliation. • Schedule, monitor, and troubleshoot batch jobs using Control-M. • Perform data analysis, data validation, and issue investigation across source and target systems. • Optimize SQL queries, stored procedures, and data-processing jobs for performance. • Work with large datasets and ensure data quality, accuracy, and consistency. • Monitor production jobs and resolve failures within defined SLAs. • Collaborate with Business Analysts, Application Teams, QA, and other Data Engineering teams. • Prepare technical documentation for data pipelines, processes, and production support activities.