Data Engineer – SAS ETL, Oracle Database, SQL & Control-M

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Skills you'll use

What you'll do

• Develop, enhance, maintain, and support ETL processes using SAS to meet approved business and technical requirements.
• Design, develop, and optimize Oracle Database queries, stored procedures, data models, and related data processing components.
• Analyze business requirements and translate them into scalable, maintainable, and technically accurate data integration solutions.
• Perform data validation, reconciliation, troubleshooting, root-cause analysis, and performance tuning across ETL and database processes.
• Schedule, monitor, and troubleshoot ETL jobs using Control-M to support reliable and timely data delivery.
• Collaborate with business analysts, data teams, application teams, testing teams, and other stakeholders to clarify requirements and resolve delivery issues.
• Apply data warehousing and ETL best practices to support data accuracy, completeness, consistency, maintainability, and operational stability.
• Investigate production issues, document findings, coordinate resolutions, and support post-implementation validation.
• Create and maintain technical documentation, data mappings, process specifications, job schedules, support procedures, and operational records.
• Contribute to continuous improvement by reducing manual processing, improving job efficiency, reusing ETL components, and optimizing resource usage where applicable.

Who can apply

• SAS ETL: Hands-on experience developing, enhancing, maintaining, and supporting ETL processes using SAS.
• Oracle Database: Mandatory hands-on experience with Oracle Database, including queries, stored procedures, data models, data validation, and performance tuning.
• SQL: Strong experience writing and optimizing SQL queries for data extraction, transformation, validation, reconciliation, and analysis.
• Control-M: Experience scheduling, monitoring, managing, and troubleshooting ETL jobs.
• Data Warehousing Tools and Processes: Experience with data warehouse structures, ETL workflows, data integration, and data delivery practices.
• Development and Support Tools: Experience using tools for technical documentation, issue tracking, job monitoring, and production support.

About Synechron

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