Data Modeller
4 days ago
One of our clients in the Winelands is looking for a Data Modeller to join their team in CT on a (Permanent) basis. As a Data Modeller you will ideally need experience in supporting as well as implementing data infrastructures, with proven analytical and problem-solving experience in a complex data environment.
**Key Responsibilities**:
- 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
- Data quality
- 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
- Relational modelling
- Dimensional modelling
- Data normalisation
- Data modelling patterns e.g. party role
- Broad understanding of Data Management (DMBOK), systems development lifecycle methodologies and IT Architecture
- SQL
**Essential Competencies**:
- Initiator / Self-starter
- Team Player
- Excellent negotiation skills
- Analytical skills
**Location & Type e.g Remote/ Hybrid**:
- Cape Town (Hybrid)
**Ideal**:
- 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 NoSQ models
**Minimum Requirements**:
- Grade 12 National Certificate
- Bachelor’s Degree in Information Technology - IT Engineering or Information Management
- 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
- Demonstrable data profiling experience
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