Data Engineer – SAS ETL, Oracle Database, SQL & Control-M
Core
Design, develop, enhance, and support enterprise-scale data integration and ETL solutions using SAS and Oracle Database.
Role type
Senior Data Engineer (SAS ETL & Oracle)
Builds
Reliable data processes, data integration pipelines, and enterprise data delivery solutions.
Domain
Enterprise Data Engineering / Data Warehousing
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SAS ETL development, Oracle Database, SQL, Control-M job scheduling, data validation, data reconciliation, performance tuning, data modeling, stored procedures, data warehousing concepts, technical documentation
Preferred skills
Additional enterprise data integration tools, automated testing, deployment frameworks, cloud data platforms, data governance tools, version control, Agile/Scrum methodologies
Technologies
SAS, Oracle Database, SQL, Control-M
Responsibilities
Develop and maintain SAS ETL processes; Design and optimize Oracle queries and stored procedures; Schedule and monitor ETL jobs via Control-M; Perform data validation and troubleshooting; Collaborate with stakeholders to clarify requirements; Create and maintain technical documentation and data mappings.
Seniority
Mid-Senior, hands-on IC