Description

You design, develop, and deploy ETL solutions using IBM DataStage, focusing on scalable batch and near real-time data pipelines.

This role is on-site.

Responsibilities

• Lead migration and modernization of ETL workloads from traditional DataStage 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 while ensuring data quality standards.
• Analyze production issues, conduct root-cause analysis, and implement permanent fixes for data integration challenges.
• Create technical design documents, source-to-target mappings, and operational runbooks in collaboration with Data Architects and QA teams.

Required Skills

• Expert-level IBM DataStage (11.x and above) for ETL design and development.
• Experience with IBM Cloud Pak for Data (CP4D) and cloud-native architecture.
• Advanced SQL and strong understanding of Data Warehousing concepts and Data Modeling.
• Proficiency in Unix/Linux Shell Scripting for automation and environment management.
• Proven ability in performance tuning and optimization of ETL jobs, databases, and data flows.
• Experience with data migration and modernization initiatives in enterprise environments.
• Familiarity with Agile ceremonies including Sprint Planning, Standups, and Retrospectives.

Preferred Skills

• Experience with enterprise scheduling tools such as Autosys or Control-M.
• Knowledge of DevOps practices and automated deployment pipelines for ETL applications.
• Understanding of data governance, metadata management, and data lineage.

Key Skills

Education

Any Gradute