Description

  • Develop and implement ETL solutions
  • Design and build DataStage jobs to extract, transform, and load data from various sources into target data warehouses or data marts.
  • Data Warehousing and Data Integration
  • Focus on data warehousing and data integration projects, ensuring data consistency and availability for business intelligence and analytics.
  • Performance Tuning
  • Optimize the performance of ETL processes to meet business requirements and ensure efficient data processing.
  • SDLC and Agile Methodologies
  • Participate in the software development lifecycle (SDLC) and potentially work within agile frameworks.
  • Collaboration - Work with business analysts, data architects, and other developers to understand requirements and deliver high-quality solutions.
  • Production Support - May be involved in providing support for existing DataStage jobs in production, including troubleshooting and resolving issues.
  • Skills and Experience - IBM InfoSphere DataStage Strong proficiency in using DataStage for ETL development.
  • SQL and Databases - Solid understanding of SQL and experience with relational databases like Oracle.
  • ETL Concepts Deep understanding of ETL concepts, data warehousing principles, and data integration best practices.
  • Unix Linux Experience with Unix Linux operating systems, including scripting (e.g., Unix Shell Scripting).
  • Data Modeling - Familiarity with data modeling concepts and techniques.
  • Agile and DevOps - Experience working in agile environments and potentially with DevOps practices

Key Skills
Education

Any Gradute

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