ETL DataStage Developer 100% Remote - Apetan Consulting - Remote | Dice.com

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ETL DataStage Developer 100% Remote

Remote • Posted 3 hours ago • Updated 3 hours ago

Full Time

Part Time

Remote

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Job Details

Skills

optimizing
Must have prior experience supporting a State/Government IE project. Expert-level experience with IBM InfoSphere DataStage
including building
and troubleshooting parallel and sequence ETL jobs. Strong SQL proficiency
with the ability to write complex queries
validate transformations
and tune performance across large datasets.

Summary

ETL DataStage Developer 100% Remote

Additional Info:

IMPORTANT FOR RECRUITERS -
If you find a candidate who is wanting to work C2C - it's crucial this individual is NOT a or USC.
I am not accepting submittals whose LinkedIn profile says "United States". I need a specific location - avoid calling these candidates.

Responsibilities:

Design, develop, and maintain parallel and sequence ETL jobs using IBM InfoSphere DataStage.
Extract, transform, and load data into the Medicaid data warehouse and decision support platform.
Create, maintain, and update source-to-target data mapping, technical specifications, and design documentation.
Support and monitor production ETL workflows, ensuring timely and accurate data loads.
Troubleshoot and resolve ETL job failures, data issues, and production defects.
Collaborate with data architects, analysts, and business stakeholders to ensure alignment with data quality and integration standards.
Participate in performance tuning, optimization, and process enhancements of ETL pipelines.
Ensure adherence to BI and data management best practices, governance standards, and security protocols.

Requirements:

Must have prior experience supporting a State/Government IE project.
Expert-level experience with IBM InfoSphere DataStage, including building, optimizing, and troubleshooting parallel and sequence ETL jobs.
Strong SQL proficiency, with the ability to write complex queries, validate transformations, and tune performance across large datasets.
Hands-on Linux/Unix shell scripting experience for automation, file management, and job orchestration.
Solid understanding of data warehousing and BI concepts, including source-to-target mapping, data modeling, and ETL best practices.
Proven ability to support, monitor, and troubleshoot production ETL workflows, resolving data load failures and performance issues.
Excellent documentation, analytical, and problem-solving skills, with the ability to work cross-functionally and manage multiple priorities.

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: 10513292
Position Id: 2025-70642
Posted 3 hours ago

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