CGI Group Inc.-posted 25 days ago
Full-time • Mid Level
Columbus, OH
5,001-10,000 employees
Professional, Scientific, and Technical Services

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.

  • 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
  • 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
  • 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
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