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Recognizable employer and metro location increase competition, but specialized ETL tool requirements moderate density.
Requires specialized ETL and data warehouse tool experience, moderately limiting cross-industry transferability.
Multiple mandatory niche ETL, database, and scheduling skills increase shortlisting strictness to high.
Design, develop, and maintain ETL jobs primarily using SAP BusinessObjects Data Services (BODS) and IBM DataStage.
Perform data extraction, transformation, loading, validation, and reconciliation across multiple source systems with focus on data quality and job performance.
Monitor, troubleshoot, and optimize ETL workflows, and collaborate with business analysts and technical teams on data requirements and documentation.
Strong experience in SAP BODS and IBM DataStage ETL development expertise.
Proficient in SQL with experience in Oracle, SQL Server, DB2, and data warehousing concepts.
Experience with scheduling tools like Control-M and knowledge of DevOps tools such as Azure DevOps and Git.
Work Experience Required: Not explicitly mentioned in the JD.
Expertise in complex ETL development with hands-on experience in data migration, performance tuning, and error-handling.
Comfortable working with multiple relational database platforms and data warehousing architectures.
Able to work cross-functionally with business and technology teams to deliver robust data integration solutions.