Subject Data Modeller

4 days ago


Stellenbosch, Western Cape, South Africa Boardroom Appointments Full time R250 000 - R500 000 per year


Duties and responsibilities:

  • 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
  • Demonstrable data profiling experience
  • 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
  • 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
  • Master data management
  • Canonical Data Modelling
  • 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

Skills:

  • Analytical Skills
  • Problem solving skills
  • Attention to Detail
  • Communications Skills
  • Decision making skills



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