Data Engineer: Data Modeling

Introduction
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

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• Translates business needs into a data model, providing expertise on data modeling tools and techniques for designing data models for applications and related systems.
• Skills include logical and physical data modeling, and knowledge of ERWin, MDM, and/or ETL.
• Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations.

• Translates business needs into a data model, providing expertise on data modeling tools and techniques for designing data models for applications and related systems.
• Skills include logical and physical data modeling, and knowledge of ERWin, MDM, and/or ETL.
• Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations.
• Therefore, the process of data modeling involves professional data modelers working closely with business stakeholders, as well as potential users of the information system.
• There are three different types of data models produced while progressing from requirements to the actual database to be used for the information system

• Translates business needs into a data model, providing expertise on data modeling tools and techniques for designing data models for applications and related systems.
• Skills include logical and physical data modeling, and knowledge of ERWin, MDM, and/or ETL.
• Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations.