Datastage

2 days ago

Mumbai, India Growel Softech Private Limited Full time

Job Description Key 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 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: Bachelor's degree in Computer Science, Information Technology, or a related field. - Experience: - 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).

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