Description

• Develop, enhance, and optimize ETL pipelines using IBM DataStage, including parallel and server jobs, job sequencing, and performance tuning.
• Support the migration of on‑premise DataStage jobs to IBM Cloud Pak for Data (CP4D), including code refactoring, testing, validation, and workflow modernization.
• Use Python and XML to automate processes, perform data transformations, and integrate automation into ETL workflows.
• Work extensively in Linux/Unix environments to write shell scripts, manage file systems, monitor processes, and troubleshoot runtime issues.
• Apply Master Data Management (MDM) principles to ensure data quality, governance, and consistency across enterprise systems.
• Develop complex SQL queries for data extraction, transformation, validation, and performance improvement across relational database platforms.
• Work within Agile teams to support sprint activities, deployments, documentation, and continuous improvement practices.
• Collaborate with data architects, analysts, DBAs, and business users to ensure successful and accurate delivery of data solutions.
• Troubleshoot ETL issues, perform root‑cause analysis, recommend improvements, and ensure adherence to data standards and security policies.

Required Skills

• 5+ years of experience ETL (IBM DataStage) - Required
• 1+ years of exposure to Cloud Pak for data - Required
• 5+ years of experience with Unix/Linux
• 3+ years of experience with Master Data Management

Key Skills

Education

Any Gradute