Data Engineer-Data Modelling
IBM
**Introduction**
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
* 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
**Required technical and professional expertise**
* 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
**Preferred technical and professional experience**
* 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
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