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Data Modeler: Data Strategy Bu: Full Stack Squad

3 months ago

Johannesburg, Gauteng, South Africa Isilumko Staffing Full time

Data Modeler:

Data Strategy Team: 1 Year

FTC:
Banking


To create structures that enable data to be persisted in a structured way to enable the value of the data to be unlocked.

To create appropriate data and class structures that enable the flow of data between providers and consumers:

  • 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 Client's Data Management framework and standards.
  • Seek opportunities to improve business processes, models, and systems through agile thinking.
  • Support the achievement of the business strategy, objectives, and values.

Technical Knowledge Needed:

  • Data analysis and inference: Intermediate Data Architecture Management.
  • Data Integrity: Intermediate Data Integration.
  • Data Modelling: Intermediate Industry Model Understanding.


 Data Warehouse Layers
  • Intermediate Pattern Recognition, conceptual and abstract thinking.
  • Metadata: Intermediate Agile Concepts
  • Data Quality: Intermediate Banking Product Knowledge
  • Data Warehousing Overview and Architecture: Intermediate DevOps Tooling and methodologies
  • Database Model Concepts: Intermediate Presenting
  • Using SQL in Databases: Basic Problem solving and creativity
  • Data and business requirements Gathering
  • Data Modelling Tools: Intermediate
  • Master and Reference Data Management
  • Data Governance

Minimum Requirements:

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