DataStage

Join a team where data moves with purpose and every pipeline you build helps turn raw information into reliable insights. In this role, you’ll lead the design and delivery of enterprise-grade ETL solutions, partnering closely with stakeholders, analysts, and engineers to ensure data is accurate, timely, and trusted. You’ll combine hands-on development with technical leadership—guiding best practices, improving performance, and helping teams deliver with confidence. If you enjoy solving complex data challenges, mentoring others, and shaping scalable integration patterns, this is a great opportunity to make a visible impact while working in a collaborative, quality-focused environment. Technical Requirements: • Primary skills:Technology->ETL & Data Quality->IBM Infosphere Datastage Responsibilities: • Lead end-to-end ETL development using IBM InfoSphere DataStage, from requirements gathering to production deployment. • Design, develop, and maintain DataStage jobs, sequences, and reusable components aligned to business and technical needs. • Drive data integration across multiple sources/targets, ensuring correctness, completeness, and consistency of delivered datasets. • Perform performance tuning and optimization of ETL jobs, including parallelism, partitioning, and resource utilization improvements. • Establish and enforce ETL standards, coding practices, naming conventions, and documentation for maintainability. • Troubleshoot production issues, perform root-cause analysis, and implement preventive fixes to improve stability. • Collaborate with cross-functional teams to plan releases, manage dependencies, and ensure smooth handoffs across environments. • Provide technical guidance and mentorship to developers, including reviews of job design, error handling, and performance patterns. Preferred Skills: Technology->ETL & Data Quality->IBM Infosphere Datastage->IBM Infosphere Datastage - Datastage