Subject Data Modeller

Boardroom Appointments • Other • Stellenbosch, Western Cape, South Africa • $200 - $300 / year • 12h ago

To Understand and translate business requirements into data requirements to enable stakeholders to consume data in the most effective and efficient way.
To design and maintain optimal data models/structures at both an enterprise level as well as conceptual, logical & physical levels which meet the business and architectural objectives of Company.

Qualifications and experience:

2 years + experience in the Data Modelling discipline
3 years in a data role such as Data Engineer, Data Analyst or BI Business Analyst.
Experience using one of the following data modelling tools e.g Sparx Enterprise Architect, Erwin, SAP PowerDesigner, ER/Studio or IBM data architect
Exposure to relational data models
Experience working with dimensionally modelled data
Experience in supporting as well as implementing data infrastructures
Proven analytical and problem-solving experience in a complex data environment
Experience with generic financial industry data models (products)
Exposure to graph data models and NoSQL models
Relevant industry experience i.e. financial services or retail.
Grade 12 National Certificate / Vocational in Grade 12 National Certificate
Bachelor's Degree in Information Technology - IT Engineering or Information Management
Certification in Data Management

Knowledge of:

Data Modelling tools e.g. Sparx Enterprise Architect,Erwin & SAP Power Designer, ER/Studio, IBM data architect
Entity Relationship Modelling
Physical Database Design
Data warehousing
Data Integration
Metadata
Knowledge of database concepts, objects and data modelling techniques and design principles.
Expert knowledge of data modelling principles/methods including conceptual, logical & physical Data Models
Knowledge of the entire process behind software development including design and deployment
Data modelling patterns e.g. party role
Broad understanding of Data Management (DMBOK), systems development lifecycle methodologies and IT Architecture
SQL
Banking and financial services environments
BI tools and technologies as well as the optimization of underlying databases
How to clearly communicate complex technical ideas, regardless of the technical capacity of the audience
Knowledge of the mathematical foundations of data normalisation

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