ETL - Data Warehouse Architect

Hybrid in Lansing, MI, US • Posted 4 hours ago • Updated 2 hours ago
Contract Corp To Corp
Contract W2
6 Months
Hybrid
$60 - $65/hr
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
  • Datastage
  • Documentation
  • Extract
  • Transform
  • Load
  • File Systems
  • IBM InfoSphere DataStage
  • IBM SmartCloud
  • Linux
  • Management
  • Master Data Management
  • Migration
  • Mobile Device Management
  • Performance Improvement
  • Performance Tuning
  • Python
  • RDBMS
  • Root Cause Analysis
  • SQL
  • Scripting
  • Shell
  • Sprint
  • Testing
  • Unix
  • Workflow
  • XML

Summary

Job Title: ETL - Data Warehouse Architect 3

Location: Lansing, MI - Hybrid

Interview Process: In-Person interviews will be conducted July 20th and 21st

The ETL Developer is responsible for designing, developing, and maintaining highquality data integration solutions using IBM DataStage and related technologies. This role supports both onpremise 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 onpremise 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 rootcause 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

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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: 10511336
  • Position Id: 9020493
  • Posted 4 hours ago
Contact the job poster
Andrew Fugle

Andrew Fugle

Della Infotech Recruiter @ Della Infotech
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