7 дней назад
IT Service Professional – Semantic Layer & Data Products (Microsoft Fabric)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
IT Service Professional – Semantic Layer & Data Products (Microsoft Fabric): Develop scalable enterprise semantic models and reusable data products with an accent on dimensional modeling, KPI implementation, governance, and performance optimization. Focus on designing AI-ready semantic layers, translating complex business requirements into technical models, and enabling self-service analytics with Microsoft Fabric, Power BI, DAX, and SQL.
Location: Shanghai, China
Company
is part of the Freudenberg Group and operates in the medical technology and manufacturing sector.
What you will do
- Develop and manage scalable enterprise data products and semantic models.
- Translate complex business processes and stakeholder requirements into reusable business logic and KPIs.
- Align reporting, analytics, and AI solutions with data standards and architecture principles.
- Optimize semantic models and data products for scalability, performance, and fast query execution.
- Maintain data quality, consistent naming, documentation, and KPI certification.
- Collaborate with Data Engineers and AI teams to create AI-ready semantic models and reusable assets for self-service analytics.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Information Technology, Information Systems, or a related IT field.
- 3–5 years of professional experience in a data environment.
- Proven experience in dimensional data modeling and enterprise-level semantic layer design.
- Advanced DAX knowledge, including measures, evaluation context, and performance tuning, plus strong SQL skills.
- Hands-on experience with Microsoft Fabric, Power BI Semantic Models, Data Warehouse, Lakehouse, and Data Product architecture.
- Basic Python skills and strong communication, collaboration, standardization, and quality-focused engineering abilities.
Culture & Benefits
- Full-time employment in Shanghai.
- Work within a data and AI collaboration environment focused on reusable solutions, governance, and continuous learning.
- Equal opportunity employment and commitment to diversity and inclusion.
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