Data Engineer - Data Integration Intern

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

As a Data Engineer specializing in Data Integration, you will design and build solutions to transfer data from operational and external environments to the business intelligence environment.

You will utilize various tools to create and implement Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle.

Your primary responsibilities will include

• Assist with ETL Process Development: Learn to create and implement ETL processes using tools such as Informatica, Ab Initio software, and DataStage. Observe and participate in designing solutions to transfer data from operational and external environments to the business intelligence environment.
• Explore Data Integration Tools: Familiarize yourself with tools like Informatica, Ab Initio software, and DataStage, and understand their applications in data integration.
• Support Seamless Data Flow: Contribute to ensuring the smooth flow of data throughout the business intelligence solution's lifecycle by assisting in the implementation of ETL processes.
• Learn Business Intelligence Solutions: Engage with the team to gain knowledge of business intelligence solutions and understand how data integration contributes to the overall solution.
• Exposure to ETL Processes: Basic understanding of Extract, Transform, and Load (ETL) processes and their role in data integration.
• Familiarity with Data Integration Tools: Interest in learning tools such as Informatica, Ab Initio software, and DataStage, and their applications in data integration.
• Basic Understanding of Business Intelligence: Curiosity about business intelligence solutions and the importance of data integration in the overall solution.
• Data Flow Fundamentals: Basic understanding of the concepts involved in ensuring the seamless flow of data throughout the business intelligence solution's lifecycle.
• Interest in Data Environment: Exposure to operational and external data environments and their relationship with business intelligence environments.
• Data Integration Tools Knowledge: Familiarity with additional data integration tools beyond Informatica, Ab Initio software, and DataStage is beneficial.
• Business Intelligence Solution Exposure: Exposure to various business intelligence solutions and their applications can be advantageous. Egypt Data & Analytics Hybrid Internship Giza, EG