Data Engineer

Builds and maintains data pipelines to support analytical processes and system integration.

IBM is a global technology leader known for its innovation in various IT fields. The company's recruitment of roles such as Data Engineer and Supplier Engagement Professional suggests involvement in data management, integration, and business process optimization. Positions like Data Engineer-Data Integration and Data Engineer-Data Warehouse indicate expertise in designing and maintaining complex data systems. While the exact industry focus is not specified, these job titles imply IBM may operate within sectors requiring advanced data solutions, such as finance, healthcare, or enterprise software. The company likely provides services related to data infrastructure, system integration, and business process improvement. IBM's offerings are expected to support organizations in enhancing operational efficiency and leveraging data for strategic decision-making.

Introduction 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. Your Role And Responsibilities 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 specialized 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 Design Data Integration Solutions: Create solutions to transfer data from operational and external environments to the business intelligence environment, utilizing tools such as Informatica, Ab Initio software, and DataStage. Implement ETL Processes: Develop and implement Extract, Transform, and Load (ETL) processes to ensure the seamless flow of data throughout the business intelligence solution's lifecycle. Utilize Specialized Tools: Apply knowledge of Informatica, Ab Initio software, and DataStage to design and build data integration solutions. Ensure Seamless Data Flow: Ensure the smooth flow of data throughout the business intelligence solution's lifecycle by creating and implementing effective ETL processes. Support Business Intelligence: Support the business intelligence environment by designing and building solutions to transfer data from operational and external environments. Required Technical And Professional Expertise Exposure to Data Integration Tools: Familiarity with tools such as Informatica, Ab Initio software, and DataStage (formerly Ascential) - IBM's WebSphere Data Integration Suite. ETL Process Implementation: Experience working with Extract, Transform, and Load (ETL) processes to ensure the seamless flow of data throughout the business intelligence solution's lifecycle. Data Solution Design: Exposure to designing solutions to transfer data from operational and external environments to the business intelligence environment. Business Intelligence Environment: Experience working within a business intelligence environment, supporting data integration solutions. Data Flow Management: Exposure to ensuring the smooth flow of data throughout the business intelligence solution's lifecycle. Preferred Technical And Professional Experience Additional Data Integration Tools: Exposure to other data integration tools beyond Informatica, Ab Initio software, and DataStage can be beneficial in this role. Advanced ETL Techniques: Experience working with advanced ETL techniques and methodologies can enhance the ability to design and implement efficient data integration solutions. Business Intelligence Platforms: Familiarity with various business intelligence platforms can support the development of effective data integration solutions. Show more