全职 AI Data Engineer 工作, 薪水, IHH Healthcare Federal Territory 公司招聘中 - Ricebowl

The role is for an AI Data Engineer who will build the governed semantic and knowledge foundation that enables AI agents and end users to work from consistent business definitions, trusted metrics, and reusable analytics logic.

This role will own the design and governance of a semantic layer that captures business entities, relationships, metrics, dimensions, hierarchies, glossary terms, lineage, and validation rules across priority analytics domains. This semantic foundation will power AI-driven analytics use cases such as metric design, natural-language search, self-service reporting, dashboard generation, and executive narrative creation

The ideal candidate combines strong analytics engineering and data modeling experience with a deep understanding of metric governance, business semantics, and how trusted definitions support both human and AI consumers. This role is central to ensuring that AI outputs are accurate, explainable, and aligned with IHH business meaning

• Build governed semantic layer
• Metric certification and validation workflow
• Business glossary and semantic mapping for AI (glossary, synonyms)
• Expose semantic definitions for BI and agents
• Documentation, lineage, versioning and change management

REQUIREMENT

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field
• 4–7 years of experience in data engineering, analytics engineering, or related roles
• Proven experience working with data warehousing and transformation pipelines
• Demonstrated experience in data modeling and building analytics-ready datasets
• Exposure to semantic layer / metrics layer development in enterprise environments
• Strong proficiency in SQL (expert level) and Python
• Solid experience in data modeling (dimensional modeling, star schema, medallion architecture)
• Hands-on experience building and maintaining ETL/ELT pipelines
• Familiarity with cloud data platforms (Azure, Databricks)