Sr ETL Developer (IBM DataStage)

Posted 3 Days Ago
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Lansing, MI, USA
In-Office
Senior level
Artificial Intelligence • Information Technology • Professional Services • Consulting
The Role
Design, develop, and maintain ETL/data integration solutions using IBM DataStage. Migrate on‑premise jobs to IBM Cloud Pak for Data, automate transformations with Python/XML, write complex SQL, perform Unix/Linux shell scripting, apply MDM principles, troubleshoot pipelines, and collaborate with architects, DBAs, and business stakeholders within Agile teams.
Summary Generated by Built In
Top Skills & Years of Experience:
- 5+ years of experience with 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

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.

 

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



Skills Required

  • 5+ years of experience with ETL (IBM DataStage)
  • 1+ years of exposure to IBM Cloud Pak for Data (CP4D)
  • 5+ years of experience with Unix/Linux
  • 3+ years of experience with Master Data Management (MDM)
  • Proficiency in Python for automation and data transformations
  • Experience using XML for data integration
  • Ability to develop complex SQL queries across relational databases
  • Experience working in Agile teams and supporting sprint activities
  • Previous government experience
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The Company
HQ: Duluth, GA
Year Founded: 2003

What We Do

Novalink Solutions LLC is a global consulting, engineering, and AI product development company specializing in information technology and telecommunications. They provide AI-powered products, automation platforms, intelligent workflow systems, IT consulting, managed engineering, and staff augmentation services.

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