Design, build, and maintain data pipelines in IBM Datastage to ingest, transform and expose data
Implement data-warehousing concepts (dimensional modelling, slowly-changing dimensions
Develop Python/Shell Scripting code to automate day-to-day tasks and perform required.
Ensure data quality and consistency by defining validation rules, unit tests and automated
Collaborate with data architects and business analysts to translate functional requirements into
Document technical and functional artifacts (design specs, data dictionaries, operational

🎯 Requirements

5-7 years of hands-on experience in IBM Datastage
Strong SQL programming
Hands-on in Teradata database
Python programming and CI/CD
Strong background in data-warehousing concepts, ETL pipelines and performance tuning
Hands-on experience with GitLab, Jenkins, Ansible or similar tools

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