Data Modeller

 

Recruiter:

Indsafri

Job Ref:

JHB000297/Nons

Date posted:

Thursday, August 18, 2022

Location:

Johannesburg, South Africa


SUMMARY:
Our client is looking for Data  Modeller join the vibrant team in the financial institution

JOB DESCRIPTION:

Data Modeller
Description:
  • To design and maintain optimal data models/structures at both an enterprise and system / application level that meet the business and architectural objectives of the organisation.
  • 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.
Responsibilities:
  • 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.
  • Analyse 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 to ensure optimal implementation.
  • Compile Source to Target Mapping Specifications including the appropriate Transformation Rules
  • Identifying definitive or authoritative source of data; analysing 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 re-use 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.
  • Advise stakeholders on application of data modelling practices through consultation.
  • 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 financial Data Management framework and standards
  • Seek opportunities to improve business processes, models, and systems though agile thinking.
  • Support the achievement of the business strategy, objectives, and values
  • Participate and support corporate responsibility initiatives for the achievement of business strategy
Education:
  • Matric / Grade 12
  • Advanced Diplomas/Degrees
  • Bachelor of Commerce, Bachelor of Science: Information Systems / Computer Science
Essential Certifications
  • TOGAF
Experience
  • 3+ years and/or relevant industry experience as well as experience in the Data Modelling discipline.
  • Able to demonstrate practical experience in, 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
Technical Skills
  • Data analysis
  • Data Analysis and Interpretation
  • Data Warehousing
  • Data and Business analysis
  • Data base Administration (DBA) Principles and Admin Concepts
  • Data base administration
  • Data modelling tool
  • Database Knowledge
  • SQL

 

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