As a Sr DataStage Developer, you will play a key role in modernizing enterprise data platforms by designing, developing, and optimizing IBM DataStage ETL solutions. You'll work alongside cloud engineers, architects, and governance teams to transform legacy ETL processes into modern cloud-based data platforms including Snowflake and AWS, while leveraging AI-assisted tools to accelerate large-scale modernization initiatives.
KEY RESPONSIBILITIES:
Design, develop, and maintain enterprise-scale IBM DataStage ETL workflows that deliver reliable, high-quality data.
Analyse DataStage job metadata and XML transition logic to modernize legacy ETL into Snowflake, AWS, or metadata platforms such as Collibra.
Optimize ETL performance through advanced SQL, parallel processing, and automation using UNIX/Linux shell scripting.
Partner with architects, cloud engineers, and governance teams to deliver scalable, secure, and auditable data migration solutions.
Produce technical documentation, participate in code reviews, testing, and deployment activities while promoting ETL best practices.
Requirements
REQUIRED QUALIFICATIONS:
6+ years of hands-on experience with IBM DataStage development.
Proven experience building end-to-end ETL workflows, including extraction, transformation, and load processes.
Strong expertise in SQL, including complex joins, subqueries, window functions, and performance tuning.
Solid knowledge of UNIX/Linux fundamentals, including file systems, permissions, and process management.
Hands-on experience with shell scripting (bash/ksh) for job automation and operational support.
Experience working with DataStage job metadata and XML transition logic.
Ability to analyse and translate legacy ETL logic into modern data platforms such as Snowflake, AWS-native services, or data governance tools like Collibra.
Familiarity with AI-assisted development or automation tools used to understand, parse, or accelerate ETL modernization efforts.
Strong understanding of data warehousing concepts, ETL best practices, and data quality frameworks.
Excellent analytical, problem-solving, and communication skills.
PREFERRED QUALIFICATIONS:
Experience with Collibra or other enterprise metadata and data governance platforms.
Familiarity with AI-assisted development tools that support code analysis, metadata interpretation, or ETL modernization.
Experience supporting enterprise cloud migration or large-scale modernization programs.
Knowledge of CI/CD pipelines and DevOps practices for data engineering.
Experience working within financial services or other highly regulated industries.
Numbers & Facts
Location
Mc Lean, Mc Lean
Website
http://ommincorp.com
Skills
Amazon Web Services (AWS)unmatched
Analysis Skillsunmatched
Artificial Intelligence (AI)unmatched
Automationunmatched
Bash Scriptingunmatched
Best Practicesunmatched
Cloud Architectureunmatched
Cloud Computingunmatched
Code Reviewsunmatched
Communication Skillsunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Data Migrationunmatched
Data Qualityunmatched
Database Extract Transform and Load (ETL)unmatched
DevOpsunmatched
File Systemsunmatched
Financial Servicesunmatched
IBM WebSphere DataStageunmatched
Information/Data Security (InfoSec)unmatched
Ksh (Korn Shell) Scriptingunmatched
Linux Operating Systemunmatched
Metadataunmatched
Operational Supportunmatched
Parallel Computingunmatched
Performance Tuning/Optimizationunmatched
Problem Solving Skillsunmatched
Process Managementunmatched
Programming Toolsunmatched
SQL (Structured Query Language)unmatched
Snowflake Schemaunmatched
Software Engineeringunmatched
Technical Writingunmatched
Unix Operating Systemsunmatched
Unix Shell Programmingunmatched
XML (EXtensible Markup Language)unmatched
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