DataStage Engineer/Developer
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Role details
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Job description
- Design, develop, test, and deploy robust ETL jobs using IBM InfoSphere DataStage parallel framework.
- Author advanced Unix/Linux shell scripts to automate batch execution workflows, file transfers, directory management, and error handling.
- Write, optimize, and maintain complex Oracle PL/SQL code, including stored procedures, packages, functions, triggers, and analytical queries.
- Conduct performance tuning across DataStage jobs, Unix scripts, and Oracle database queries to support high-volume data processing.
- Collaborate with data architects and business analysts to translate business requirements into technical specs and dimensional data models.
- Manage batch job scheduling (e.g., Control-M, Autosys), production deployments, system monitoring, and Tier-3 escalation support.
- Maintain data quality standards, code repository management, and comprehensive technical documentation.
Requirements
Seeking a Lead DataStage Engineer with approximately 10 years of hands-on development experience to design, build, and optimize enterprise-scale ETL pipelines, batch automation workflows, and database integrations., IBM DataStage: 8+ years of hands-on experience building complex parallel jobs, sequences, shared containers, and custom stages. Unix/Linux Platform: 8+ years of expertise in command-line utilities, bash/Korn shell scripting, process monitoring, and batch process control. Oracle & PL/SQL: 8+ years of proficiency with Oracle databases, execution plans, index tuning, partitioning, and writing performant PL/SQL logic. Data Warehousing: Deep understanding of ETL architecture, dimensional modeling (Star/Snowflake schemas), and Slowly Changing Dimensions (SCD Type 1/2/3).
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