Responsibilities Design and Development: Develop ETL processes using IBM DataStage to extract transform and load data from various data sources to data warehouses or other target systems. Create and maintain data integration solutions to support business requirements. Develop complex DataStage jobs and sequences ensuring efficient performance and scalability. Data Management: Ensure data quality and integrity throughout the ETL process. Implement and monitor data quality checks to ensure accurate data transfer. Perform data analysis and troubleshoot data-related issues as needed. Performance Optimization: Optimize ETL processes for performance and scalability. Monitor and tune DataStage jobs to ensure optimal performance. Identify and resolve performance bottlenecks in the ETL processes. Collaboration and Communication: Work closely with business analysts data architects and other stakeholders to understand and translate business requirements into technical specifications. Collaborate with other developers and team members to ensure consistent and reliable data integration solutions. Provide technical guidance and support to junior team members. Documentation and Compliance: Create and maintain comprehensive documentation for DataStage jobs processes and workflows. Ensure compliance with data governance and security policies. Participate in code reviews and ensure adherence to coding standards and best practices. Qualifications Education: Bachelors degree in Computer Science Information Technology or a related field. Experience: years of experience in ETL development using IBM DataStage. Strong experience in data integration data warehousing and ETL processes. Proven experience with SQL and database technologies (e.g. Oracle SQL Server DB2). Skills: Proficiency in IBM DataStage including design development and optimization of DataStage jobs. Strong understanding of ETL concepts data modeling and data warehousing principles. Excellent problem-solving skills and attention to detail. Strong analytical and troubleshooting abilities. Good communication and collaboration skills. Preferred Qualifications: Experience with other ETL tools and data integration technologies. Knowledge of cloud platforms and services (e.g. AWS Azure). Familiarity with big data technologies (e.g. Hadoop Spark). Named Job Posting? (if Yes - needs to be approved by SCSC)Additional Details

Global Grade :C

Level :To Be Defined

Named Job Posting? (if Yes - needs to be approved by SCSC) :No

Remote work possibility :Yes

Global Role Family :60236 (P) Software Engineering

Local Role Name :6504 Developer / Software Engineer

Local Skills :6238 (T) Data Integration

Languages Required::English

Role Rarity :To Be Defined

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