Job ID: MI-161004
Hybrid/Local Govt Data Warehouse Architect (3 ref must/15+) with ETL/IBM DataStage, Cloud Pak, CP4D, Unix/Linux, MDM, Python/XML, SQL Server, Agile experience
Location: Lansing, MI (EICIM)
Duration: 12 Months
Hybrid: Resource will be working a hybrid schedule. NO REMOTE ONLY OPTION. Will need to be onsite from day 1, two days a week. ((Monday/Tuesday)
Local candidates ONLY candidates must be located in Michigan at time of submission
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
Description:
The ETL Developer is responsible for designing, developing, and maintaining high quality data integration solutions using IBM DataStage and related technologies. This role supports both on premise and cloud environments, contributes to enterprise data modernization efforts, and plays a key role in migrating DataStage workloads to IBM Cloud Pak for Data (CP4D). The developer will collaborate with technical and business teams to deliver reliable, scalable, and secure data pipelines aligned with organizational objectives.
Responsibilities 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.
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