Work closely with database administrators and developers to implement and maintain data models in database management systems. 7. Perform data profiling and analysis to identify data quality issues and opportunities for improvement. 8. Develop and maintain data dictionary and metadata repositories. 9. Participate in data governance activities to ensure data integrity, security, and compliance. 10. Document data models, including entity-relationship diagrams, data flow diagrams, and data mappings. 11. Stay current with emerging trends and technologies in data modeling and database management.
Qualifications
Bachelor's degree in Computer Science, Information Systems, or a related field. Master's degree preferred. 2. Minimum of 3 years of experience in data modeling, database design, or database development.
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Key Skills & Experience: • Strong understanding of relational and dimensional modeling • Hands-on SQL experience for data analysis, profiling, and validation • Experience with data modeling tools such as Erwin, PowerDesigner, or equivalent
Key Responsibilities: • Design conceptual, logical, and physical data models • Support source-to-target mapping, data definitions, and data lineage • Collaborate with various teams to translate requirements into scalable data models • Support model review, validation, documentation, and resolve delivery issues
Requirements: • Proficiency in HKGD SQL • Right to work in the region • Experience with data modeling in an insurance data domain (desired but not mandatory) • Communication skills in good written and verbal English; Cantonese fluency is required • Available to work on-site in a hybrid environment during the contract period
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Lead requirements validation activities to confirm that a solution based on the requirements would meet customer needs and achieve the business objectives.
Lead requirements analysis and verification, ensuring that requirement statements are complete, consistent, concise, comprehensible, traceable, feasible, unambiguous, and verifiable and that they conform to the current set standards by the company.
Represent requirements using alternative views, such as visual analysis models (diagrams), prototypes, or simulations, where appropriate.
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Documentation: Generate accurate, construction-ready 2D shop drawings, plans, and schedules directly from the 3D models.
Clash Detection: Run spatial coordination checks using Navisworks Manage to resolve system conflicts (e.g., heavy electrical containment vs. cooling systems) before on-site installation.
Standard Compliance: Adhere strictly to the project's BIM Execution Plan (BEP), naming conventions, and client-specific data center standards.
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Gain expertise on environmental modelling methodology (wind flow, thermal comfort, sky view factor).
Gain understanding of how environmental modelling can help to improve urban design strategies for better outdoor thermal comfort and liveability outcome.
Internship Period for any 6-months between Aug 2026 - Feb 2027. Full-time internship preferred.Note: To facilitate the hiring process, please state your availability (full-time/part-time), including specific start and end date in your resume or application form.
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Performance Optimization: Implement strategies to reduce report latency, such as optimizing SQL queries, utilizing BigQuery BI Engine, and managing data extraction schedules. Establish data modeling strategies for optimized reporting performance.
Governance & Security: Establish best practices for data access control, credential management, and versioning to ensure data integrity and privacy.
Stakeholder Collaboration: Translate ambiguous business requirements into technical specifications and user-centric visualizations.
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Drive the development and continuous improvement of the People Data Platform
Design and guide the implementation of the People Data Platform that orchestrates data exchange across systems and serves as a consolidated people data repository.
Ensure the platform can support future growth, new data sources, and emerging use cases in analytics and AI.
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Experience translating business and compliance requirements into NLP‑enabled analytical use cases, such as: Text classification and categorization, Entity extraction, Risk indicator identification, Summarization of alerts, cases, or documents
Ability to translate business, regulatory, and analytics requirements into logical data layering and curation strategies that support reporting, analytics, and AI/NLP use cases
Analyze business and regulatory requirements and translate them into scalable solution designs.
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Drive the development and continuous improvement of the People Data Platform
Design and guide the implementation of the People Data Platform that orchestrates data exchange across systems and serves as a consolidated people data repository.
Ensure the platform can support future growth, new data sources, and emerging use cases in analytics and AI.
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