Description

Key Responsibilities

• Design, develop, test, and deploy ETL and data integration solutions using IBM DataStage 11.x and above.
• Develop scalable and high-performance data pipelines for batch and near-real-time processing.
• Support DataStage migration and modernization initiatives involving IBM Cloud Pak for Data (CP4D).
• Develop reusable ETL frameworks, shared containers, parameter sets, and automation components.
• Perform complex data mapping, transformation, cleansing, enrichment, and validation.
• Perform ETL job, database, and data-flow performance tuning and optimization.
• Troubleshoot production issues, perform root-cause analysis, and implement permanent solutions.
• Work closely with Data Architects, Business Analysts, Product Owners, QA, and other technical teams.
• Participate in Agile ceremonies including Sprint Planning, Daily Standups, Sprint Reviews, and Retrospectives.
• Create and maintain technical design documents, source-to-target mappings, and operational runbooks.
• Follow enterprise security, data governance, and data quality standards.

Required Skills

• Strong hands-on experience with IBM DataStage 11.x or above.
• Experience with IBM Cloud Pak for Data (CP4D).
• Strong ETL design and development experience.
• Excellent knowledge of Advanced SQL.
• Strong understanding of Data Warehousing and Data Modeling.
• Experience with Data Migration and Modernization.
• Experience in ETL performance tuning and optimization.
• Strong Unix/Linux and Shell Scripting skills.
• Experience working with high-volume enterprise data environments.
• Strong troubleshooting and production support experience.

Preferred Skills

• Experience migrating ETL workloads from IBM DataStage to IBM Cloud Pak for Data.
• Exposure to cloud-native data architecture and modernization programs.
• Experience with Autosys, Control-M, or other enterprise scheduling tools.
• Knowledge of data governance, metadata management, and data lineage.
• Experience with DevOps and automated deployment pipelines.
• Banking or Financial Services domain experience.
• Experience working in large-scale enterprise data platforms

Key Skills

Education

Bachelor's degree