Data Modeller - 128144 Description
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
Qualifications
Experience Level : Proven experience in delivering enterprise data platform projectsEducation Level : Bachelor’s degree in a relevant field; advanced degree preferred.Personal Attributes : Strong analytical skills, leadership capabilities, effective communication, and problem-solving abilitySpecific 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 designStrong 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 automationStrong background creating entity-relationship diagrams, dimensional models, and other modelling artifacts to represent complex data structuresProficient in SQL for querying and manipulating dataExperience in designing financial data marts to support business intelligence use caseExperience in Agile and DevSecOps delivery, quality practices, techniques and tools required for all aspect of data engineering / data platformsExperience with cloud-based technologies incl. Microsoft Azure, Azure Data Lake, ADLS, Databricks, Delta lakeExperience with JIRA, Confluence, Github, Bitbucket and other similar developer tools.Primary Location Kuala Lumpur, Kuala Lumpur, Malaysia Job Type Experienced Years of Experience 5 Travel No