ETL - Data Warehouse Architect 3 - Local to Michigan Only

Lansing, MI, US • Posted 3 hours ago • Updated 3 hours ago
Contract Independent
Contract W2
24 Months
Travel Required
Able to Sponsor
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Agile
  • Cloud Computing
  • Code Refactoring
  • Collaboration
  • Continuous Improvement
  • Data Extraction
  • Data Integration
  • Data Quality
  • Data Warehouse
  • Datastage
  • Documentation
  • Extract, Transform, Load
  • File Systems
  • IBM InfoSphere DataStage
  • IBM SmartCloud
  • Linux
  • Management
  • Performance Improvement
  • Performance Tuning
  • Master Data Management
  • Migration
  • Mobile Device Management
  • Python
  • RDBMS
  • Root Cause Analysis
  • SQL
  • Scripting
  • Shell
  • Sprint
  • Testing
  • Unix
  • Workflow
  • XML

Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10481525
  • Position Id: 9020747
  • Posted 3 hours ago
Contact the job poster
AP

Alex Pesci

Seasoned Recruiting Manager with a Passion for Talent Acquisition @ Shiro Technologies
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