Description

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 analyze 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

Responsibilities:

• Design, develop, and maintain IBM DataStage ETL jobs supporting enterprise data platforms
• Build and support end-to-end ETL pipelines, ensuring data accuracy, performance, and scalability
• Analyze DataStage job designs and XML metadata to understand transformation logic and data lineage
• Leverage AI tools and automation techniques to assist in interpreting legacy ETL logic and accelerating modernization
• Translate DataStage transformation logic into Snowflake SQL, AWS-based data pipelines

Key Skills

Education

Bachelor's degree