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Job DescriptionResponsibilities and Technical Skills
• 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
Desired Skills
• Previous Government experience