Responsibilities
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
Solid 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.
Robust debugging and troubleshooting skills.
📌 Datastage Developer Pan India Infosys Hyderabad
🏢 Infosys
📍 India
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