Data Modeller

 

Recruiter:

Rosstone Consulting

Job Ref:

ROS00258

Date posted:

Wednesday, March 10, 2021

Location:

, South Africa

Salary:

Negotiable


SUMMARY:
The Role:

Our client,  one of the leaders in the banking sector is looking for a Data Modeller for a short term contract role, must be available immediately.

  • Must be able to design and maintain optimal data models/structures at both an enterprise and system / application level that meet the business and architectural objectives of...

    POSITION INFO:
    The Role:

    Our client,  one of the leaders in the banking sector is looking for a Data Modeller for a short term contract role, must be available immediately.

    • Must be able 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
    • Create structures that enable data to be persisted in a structured way to enable the value of the data to be unlocked
    • Create appropriate data and class structures that enable the flow of data between providers and consumers.
    • Where required, lead a team of modellers performing this work

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

     

    Skills and Experience:
    • Data Governance - Basic
    • Data Architecture Management - Basic
    • Data Integration - Basic
    • Industry Model Understanding - Advanced
    • Pattern Recognition, conceptual and abstract thinking - Advanced
    • Agile Concepts
    • Banking Product Knowledge
    • DevOps Tooling and methodologies
    • Presenting - Advanced
    • Problem solving and creativity - Advanced
    • Language skills â?? Advanced
    • Data analysis and inference - Advanced
    • Data Integrity - Advanced
    • Data Modelling - Advanced
    • Data Warehouse Layers - Advanced
    • Metadata - Advanced
    • Data Quality - Advanced
    • Data Warehousing Overview and Architecture - Advanced
    • Database Model Concepts - Advanced
    • Using SQL in Databases - Intermediate
    • Data and business requirements Gathering - Advanced
    • Data Modelling Tools - Advanced
    • Master and Reference Data Management - Basic
    Key Accountabilities:
    • 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
    • Apply the organization approved tooling to create the data modelling deliverables
    • 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 non value 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
    • Assists to provide a comprehensive governed framework by working with the data modelling CoE and contributing towards defining the data modelling standards
    • Advise stakeholders and other staff on application of data modelling practices through consultation
    • Ensure consistency and re-use of data models by acting as a primary advocate of date modelling activities and methodologies and by driving the adoption of enterprise date modelling across the bank
    • Ensure improved performance by providing feedback on improvements to the data modelling framework
    • Perform review on work performed by team members as well as review and govern work performed by other modelling teams
    • Identify opportunities to improve or enhance processes
    • Provide Overall Data Management Guidance and alignment to the companies 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
    • Contribute to the organization Culture building initiatives (e.g. staff surveys etc.).
    • Participate and support corporate responsibility initiatives for the achievement of business strategy
    Personality and Attributes:
    • 3yrs IT related experience with 2yrs+ in a Data Modelling role
    • Able to demonstrate practical experience in relational and dimensional modelling techniques as well as leading teams of data modellers
    • Has demonstratable experience in developing custom data models as well as data modelling utilising Industry data models such as IFW BFMDW
    • Experience in model management
    • Experience in compiling and monitoring standards and developing/maturing a data modelling practice
    • OO modelling experience also an advantage
    • Exprience using Infosphere Data Architect or any other Data Modelling Tool
    • Firm 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


     

    NB! This job is now closed. You can apply for other jobs by uploading your CV.



     

 

 

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