Data Modeller

2 weeks ago

Singapore Prudential plc Full time

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

The Data Modeller - you will play a critical role in designing and implementing data models that drive efficient data storage, retrieval, and analysis for the Finance for Future Programme for the global Finance Data Repository (FDR). The position will require you to collaborate with stakeholders to understand business requirements and translating them into logical and physical data models. You will work closely with the IT Delivery Lead, Data Solution Architect, data engineering architects, database administrators, and developers to ensure that data models are optimized for performance, scalability, and usability for the chosen business outcomes.

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 FDR build for FFP, required to deliver on the 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 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 data modelling techniques, database design principles, and proficiency in database management systems
- 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 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
- Experience with JIRA, Confluence, Github, Bitbucket and other similar developer tools.

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