- Design, develop, test, and deploy ETL jobs using IBM DataStage.
- Extract, transform, and load data from multiple source systems to target databases.
- Develop and maintain DataStage parallel and server jobs.
- Perform data mapping, data cleansing, and data validation activities.
- Troubleshoot job failures and resolve performance issues.
- Optimize ETL workflows for efficiency and scalability.
- Work closely with business analysts, data architects, and stakeholders to understand requirements.
- Implement data quality checks and ensure data integrity.
- Create technical documents, job flow diagrams, and process documentation.
- Support production deployments and provide post-deployment support.
Required Skills
- Strong experience with IBM DataStage.
- Expertise in ETL Development and Data Integration.
- Robust SQL and database knowledge (Oracle, SQL Server, Teradata, DB2, etc.).
- Experience with DataStage Parallel Jobs, Server Jobs, Sequences, and Job Scheduling.
- Knowledge of Data Warehousing concepts and Data Modeling.
- Experience in performance tuning and ETL optimization.
- Familiarity with Unix/Linux commands and Shell Scripting.
- Strong debugging and troubleshooting skills.
📌 Datastage Developer- Pan India Infosys (Hyderabad)
🏢 Infosys
📍 Hyderabad
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