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Mid-level metro role with common experience band but niche BODS/DataStage reduces candidate density.
Specialized EDW and legacy ETL tooling (BODS/DataStage) limit cross-industry transferability, so sensitivity is high.
Multiple mandatory skills and explicit years plus leadership requirement make shortlisting highly strict.
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Own end-to-end design, architecture, and optimization of Enterprise Data Warehouse (EDW) solutions focused on scalable, secure, and high-performance data pipelines using SAP BODS, IBM DataStage, and related technologies.
Lead and mentor a data engineering team, enforce best practices, conduct code reviews, and collaborate with cross-functional teams for architecture governance and sprint planning.
Manage stakeholder engagement by translating business requirements into technical solutions, supporting production issue resolution, and ensuring alignment with enterprise data strategy.
5+ years of experience in Data Engineering with strong hands-on expertise in SAP BODS and IBM DataStage.
2+ years of experience leading technical teams in data engineering or related functions.
Proficient in advanced SQL development, Oracle database management, ETL/ELT pipeline design, and Redwood scheduling.
Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
Technically strong leader with experience in architecting and managing complex EDW systems and scalable data pipelines.
Experienced in enterprise-scale data engineering initiatives with hands-on capability in SAP BODS, IBM DataStage, and ETL optimization.
Comfortable working cross-functionally with business stakeholders and multiple technical teams in an Agile/Scrum environment.