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Data Modeller

Kuala Lumpur, Kuala Lumpur, Malaysia
Data Modeller - 128144

Role and Responsibilities

  • Ensure data to be organized, structured, and represented in a way that supports efficient data management, analysis, and reporting.
  • Design, implement and maintain data models for Finance Data Repository (FDR), required to deliver on the Proof of Vallue (PoV) and future state FDR business use case
  • Support IT Delivery team for FDR build – including logical data model design, transformation logic, data quality logic within Prudential frameworks
  • Responsible in develop and maintain entity-relationship diagrams (ERDs) to represent data entities, relationships, and attributes
  • Collaborate with cross-functional teams to understand data requirements and provide technical advice
  • Conduct data profiling and ensure data quality analysis is compliant with Prudential framework and standard practice
  • Ensure data security, compliance, and governance standards are met
  • In-depth knowledge of the principles and practices of good systems design


  • Experience Level: Proven experience in delivering enterprise data platform projects
  • Education Level: Bachelor’s degree in a relevant field; advanced degree preferred.
  • Personal Attributes: Strong analytical skills, leadership capabilities, effective communication, and problem-solving ability
  • Specific Skills: experience in both relational and non-relational databases, Proficiency in data modelling techniques, including conceptual, logical, and physical modelling and knowledge of industry standards and best practices in data modelling and database design
  • Strong understanding of relational database management systems (RDBMS) such as PostgreSQL, MySQL, Oracle, etc.

Mandatory skills

  • Expertise in finance data modelling techniques, database design principles, and proficiency in database management systems and test automation
  • Strong background creating entity-relationship diagrams, dimensional models, and other modelling artifacts to represent complex data structures
  • Proficient in SQL for querying and manipulating data
  • Experience in designing financial data marts to support business intelligence use case
  • Experience in Agile and DevSecOps delivery, quality practices, techniques and tools required for all aspect of data engineering/ data platforms
  • Experience with cloud-based technologies incl. Microsoft Azure, Azure Data Lake, ADLS, Databricks, Delta lake
  • Experience with JIRA, Confluence, Github, Bitbucket and other similar developer tools.
Primary Location
Kuala Lumpur, Kuala Lumpur, Malaysia
Job Type
Years of Experience
Job Posting

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