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.

Your Role and Responsibilities

• Software Development Life Cycle (SDLC) framework IT Service Management procedures development solutions which run on multiple platforms.
• may be composed of multiple software packages and technologies.
• This role is responsible for performance availability and scalability of the applications.
• Translates business needs into a data model providing expertise on data modeling tools and techniques for designing data models for applications and related systems.
• 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.
• The data requirements are initially recorded as a conceptual data model which is essentially a set of technology independent specifications about the data and is used to discuss initial requirements with the business stakeholders.
• The conceptual model is then translated into a logical data model which documents structures of the data that can be implemented in databases.

Required Technical and Professional Expertise

• Experience in Skills include logical and physical data modeling and knowledge of ERWin MDM and/or ETL.
• Experience in Data modeling involves professional data modelers Experience in Implementation of one conceptual data model may require multiple logical data models.
• Experience in entity relationship model (ERM) is an abstract conceptual representation of structured data.
• Experience in Most notable skills like Bachman diagrams Barker’s notation Chen’s Notation Data Vault Modeling Extended Backus Naur form IDEF1X Object relational mapping Object Role Modeling Relational Model Relational Model/Tasmania. Skills include logical and physical data modelling on both SQL and NoSQL databases.

Preferred Technical and Professional Expertise

• Fast-learner and proven critical-thinker; able to assess complex issues and mitigate risk skilled in analysis troubleshooting and process improvement and oversight
• Strong interpersonal presentation and organization skills; comfortable with coaching teaching and monitoring Java best practices.
• High proficiency in MS Word Excel and PowerPoint.