DataStage ETL Developer - Local to Columbus, Ohio

Remote Full-time
About the position Highly preferred location is Columbus, however remote work may be acceptable if you are able to get to Columbus 1-2 times a month. Are you passionate about transforming raw data into actionable insights? We're looking for a skilled DataStage ETL Developer to join our team and play a critical role in designing, developing, and maintaining robust data integration solutions that power our business intelligence and analytics platforms. As a DataStage Developer, you'll work closely with data architects, business analysts, and stakeholders to ensure high-quality, scalable ETL processes that support enterprise data needs. Your expertise will help streamline data pipelines, improve performance, and ensure data accuracy across systems. Responsibilities • Design, develop, and maintain ETL processes using IBM InfoSphere DataStage • Collaborate with data architects, analysts, and business stakeholders to understand and translate data requirements • Create optimized and reusable DataStage jobs for data extraction, transformation, and loading (ETL) across systems • Perform data profiling, source-to-target mapping, and error handling within ETL workflows • Support data warehouse development and ongoing enhancements across staging, integration, and reporting layers • Conduct unit testing, peer code reviews, and support QA and UAT efforts • Analyze and resolve ETL job failures, data quality issues, and performance bottlenecks • Maintain technical documentation for ETL solutions, job scheduling, and data flow diagrams • Participate in change management and production deployment processes • Follow best practices for data governance, version control, and security Requirements • 5+ years of hands-on experience in ETL development, with a strong focus on IBM DataStage • Proficient in SQL, data warehousing concepts, and relational database systems (e.g., DB2, Oracle, Teradata, SQL Server) • Solid understanding of data modeling, source-to-target mappings, and ETL performance tuning • Experience in banking, financial services, or other regulated industries • Exposure to scheduling tools (e.g., Control-M, Autosys) • Familiarity with metadata management, data quality tools, or cloud-based ETL platforms • Understanding of data governance frameworks and regulatory compliance • Experience integrating data from multiple structured and unstructured sources • Strong problem-solving and debugging skills in a large-scale enterprise environment • Excellent communication and documentation skills • Ability to work collaboratively across technical and business teams • Comfortable working in Agile or Waterfall delivery environments Benefits • Competitive compensation • Comprehensive insurance options • Matching contributions through the 401(k) plan and the share purchase plan • Paid time off for vacation, holidays, and sick time • Paid parental leave • Learning opportunities and tuition assistance • Wellness and Well-being programs Apply tot his job
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