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Mid-level, metro Data Engineer role with generic title and broad requirements drives high competition.
Skills like SAS ETL, Oracle, and Control-M suggest moderate domain specificity reducing cross-industry transferability.
Explicit 4–6 years plus mandatory SAS ETL and Oracle hands-on skills indicate high shortlisting strictness.
Develop, enhance, and maintain ETL processes using SAS ETL for enterprise-scale data integration.
Design, optimize, and support Oracle database queries, procedures, and data models ensuring efficient data flows.
Schedule and monitor ETL jobs utilizing Control-M, performing data validation, troubleshooting, and performance tuning.
4-6 years of hands-on experience in SAS ETL and Oracle Database development.
Strong SQL and data analysis skills with experience in data warehousing and ETL best practices.
Experience with Control-M for scheduling and monitoring ETL jobs.
Not explicitly mentioned: mandatory degree, notice period, or location constraints.
Demonstrated ability to translate business requirements into effective technical ETL and database solutions.
Experienced working in cross-functional teams delivering quality data solutions at enterprise scale.
Comfortable managing and optimizing complex ETL processes with strong problem-solving focus.