Description

Job Description
ETL Developer :
 
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

Key Skills

Education

Any Graduate