Data Modeller: Intermediate: Dama, Togaf, Dmbok

2 weeks ago

Johannesburg, Gauteng, South Africa Isilumko Staffing Full time

Data Modeler:
Integration,

Data Governance:
Banking: 1 Year FTC
3yrs IT related experience with 2yrs+ in a Data Modelling role.

What will be expected from you in this role?

  • Design data models that meet the business requirements and align to the agreed architecture framework.
  • Ensure data modelling deliverables are delivered according to project plan and budget to meet commitment to stakeholders.
  • Ensure all data modelling activities and deliverables are aligned to the development methodology and to the data modelling principles and standards.
  • Adopt the Enterprise Data Model (which is based on the IFW) as a standard for data model designs to leverage best practice and fast track data modelling efforts.
  • Translate business requirements into data requirements.
  • Analyze and profile the source data to understand data quality issues, relationships, patterns, and rules in the data.
  • Structure data requirements into logical data constructs based on the Enterprise Data Model, including ERD models, dimensional models, and UML class models to ensure optimal implementation.
  • Compile Source to Target Mapping Specifications including the appropriate Transformation Rules.
  • Identifying definitive or authoritative source of data; analyzing source data; and identifying gaps to target structures.
  • Enable physical implementation of the data structure by generating the first cut physical data model from the logical data model.
  • Facilitate dataflow understanding by collating dataflow diagrams outlining the flow of data across systems and interfaces.
  • Reduce nonvalue adding work by identifying opportunity for reuse of the Enterprise Data Model.
  • Maintain up to date knowledge of latest developments in the Data Modelling domain, including reading; continuous professional development courses; seminars and conferences.
  • Contribute to the creation of a comprehensive governed framework by working with the data modelling CoE and contributing towards defining the data modelling standards.
  • Perform peer review on work performed by other team members.
  • Identify opportunities to improve or enhance processes.
  • Provide Overall Data Management Guidance and alignment to Nedbank's Data Management framework and standards.
  • Seek opportunities to improve business processes, models, and systems through agile thinking.

Educational Stack:

  • Advanced Diplomas/National 1st Degrees/equivalent NQF level 6 qualification
  • Preferred Qualifications: Bachelor of Commerce, Bachelor of Science: Information Systems/Computer Science
  • Certifications: TOGAF, DAMA

Technical Stack:

Data analysis and inference l Data Architecture Management l Data Integrity l Data Integration l Data Modelling l Industry Model Understanding l Data Warehouse Layers l Pattern Recognition, conceptual and abstract thinking l Metadata l Agile Concepts l Data Quality l Banking Product Knowledge l Data Warehousing Overview and Architecture l DevOps Tooling and Methodologies l Database Model Concepts l Presenting l Using SQL in Databases l Problem solving and creativity l Data and business requirements Gathering l Language skills l Data Modelling Tools l Master and Reference Data Management l Data Governance l

***
Ability to:
  • Able to demonstrate practical experience in relational and dimensional modelling techniques, OO modelling experience also an advantage.
  • Experience using Infosphere Data Architect or any other Data Modelling Tool
  • Experience with industry models such as IFW BFMDW.
  • Broad understanding of Data Management (DMBOK), systems development lifecycle methodologies and IT Architecture.
  • Relevant regulatory knowledge and understanding of banking and financial services.
  • Experience in NOSql and other forms of database modelling advantageous.

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