Sr DataStage Engineer
EXPERT RECRUITING SOLUTIONS, LLC
New York, NY, United States
10 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
COBOL (Programming Language)
Data Governance
Data Integration
Extract Transform Load (ETL)
Data Migration
Data Systems
IBM InfoSphere DataStage
Job Control Language (JCL)
Mainframes
Performance Tuning
Virtual Storage Access Methods
+3 more
Data Processing
Snowflake
Pyspark
Job description
Our client is seeking a Senior DataStage Engineer to design, develop, and maintain enterprise ETL solutions while modernizing legacy mainframe batch processes., * Design, develop, and maintain enterprise ETL solutions using IBM DataStage
- Modernize legacy mainframe batch processes by translating existing COBOL/JCL logic into DataStage jobs
- Develop and optimize PySpark-based data processing solutions for scalable data handling
- Collaborate with business analysts, architects, and engineering teams to deliver integrated data solutions
- Troubleshoot production issues and optimize ETL performance to ensure reliability and efficiency
- Lead data migration initiatives leveraging Snowflake and AWS cloud platforms
- Ensure high standards for data quality, reliability, and comprehensive operational support
Requirements
- 6-10 years of professional experience in ETL development and data integration
- Expert proficiency with IBM DataStage and PySpark
- Strong knowledge of mainframe technologies including COBOL, JCL, and VSAM
- Hands-on experience with Snowflake and AWS
- Proven track record in data migration projects and modernization initiatives
- Solid understanding of ETL design patterns, performance optimization, and data quality frameworks
- Excellent collaboration and communication skills with cross-functional teams
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