Why This Role Stands Out
This hybrid IBM DataStage role offers significant opportunities to leverage your expertise in complex data environments and cloud-native platforms, fostering continuous skill development. You'll thrive here if you possess robust experience in ETL development, advanced SQL, and Unix/Linux scripting, contributing to impactful data integration solutions within a dynamic team. Embrace the chance to grow your career and apply today!
Quick Overview
Job Description
Job Title: ETL IBM DataStage Location: Lansing, MI (Hybrid) W2 Contract
Job Description:
1+ years of hands-on experience with IBM Cloud Pak for Data
3+ years of strong experience with Teradata 20, including SQL/BTEQ, performance optimization, and working with large enterprise datasets.
5+ of Unix/Linux scripting and system operations
3 + years of Advanced SQL for analysis and ETL support
5+ years of experience developing ETL solutions using IBM DataStage.
Proficiency in Python for automation MDM, data quality, and data governance methodologies
Proven ability to translate business and technical requirements into scalable ETL and data integration solutions.
Experience in large, complex enterprise data environments with multiple data sources.
Knowledge of IBM Knowledge Catalog (metadata, lineage, governance).
Exposure to IBM Manta for lineage and impact analysis.
Familiarity with cloud-native platforms such as OpenShift or Kubernetes.
Experience with CI/CD pipelines, version control, and Agile methodologies.
Skills
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