Description

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 Gradute