Role Summary
We are seeking a highly skilled and results-driven ETL Developer with extensive hands-on experience in IBM DataStage and IBM Cloud Pak for Data (CP4D). The ideal candidate will be responsible for designing, developing, optimizing, and supporting enterprise-scale ETL solutions, data integration pipelines, and modernization initiatives involving migration from legacy DataStage environments to cloud-native data platforms.
The candidate should possess strong expertise in data warehousing, data transformation, performance optimization, and production support while collaborating with cross-functional teams in an Agile delivery environment.
Key Responsibilities
• Design, develop, test, and deploy ETL/Data Integration solutions using IBM DataStage (latest versions).
• Develop scalable and high-performance data pipelines for batch and near real-time processing.
• Lead migration and modernization initiatives from traditional DataStage environments to IBM Cloud Pak for Data (CP4D).
• Design and implement reusable ETL frameworks, shared containers, parameter sets, and automation components.
• Perform complex data mapping, transformation, cleansing, enrichment, and validation activities.
• Conduct performance tuning and optimization of ETL jobs, databases, and data flows.
• Analyze production issues, perform root-cause analysis, and implement permanent fixes.
• Collaborate with Data Architects, Business Analysts, Product Owners, and QA teams during solution design and delivery.
• Participate in Agile ceremonies including Sprint Planning, Daily Standups, Reviews, and Retrospectives.
• Create and maintain technical design documents, source-to-target mappings, and operational runbooks.
• Ensure compliance with enterprise security, governance, and data quality standards.
Mandatory Technical Skills
Primary Skills
• IBM DataStage (11.x and above) – Expert Level
• IBM Cloud Pak for Data (CP4D)
• ETL Design & Development
• Data Warehousing Concepts
• SQL (Advanced)
• Data Modeling
• Data Migration & Modernization
• Performance Tuning and Optimization
• Unix/Linux Shell Scripting
Preferred Skills
• Experience migrating ETL workloads from IBM DataStage to Cloud Pak for Data.
• Exposure to cloud-native architecture and enterprise modernization programs.
• Experience with Autosys, Control-M, or enterprise scheduling tools.
• Understanding of data governance, metadata management, and data lineage.
• Knowledge of DevOps and automated deployment pipelines for ETL applications.
• Exposure to Banking and Financial Services domain is highly preferred.
• Experience working in large-scale enterprise data platforms handling high-volume data processing.
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