We are seeking senior-level professionals with strong hands-on experience in Microsoft Fabric, Python, and Semantic Data Modeling/Ontologies. The ideal candidate will have proven expertise in designing scalable data platforms, building semantic layers, and enabling business insights through modern data engineering practices.
Key Responsibilities
- Design, develop, and optimize data solutions using Microsoft Fabric.
- Build and manage data pipelines, lakehouses, warehouses, and analytics workloads.
- Develop semantic models, ontologies, and knowledge representations to support business use cases.
- Implement data engineering solutions using Python and modern data frameworks.
- Collaborate with business and technical stakeholders to translate requirements into scalable data architectures.
- Ensure data quality, governance, metadata management, and semantic consistency across data assets.
- Support advanced analytics, AI/ML, and enterprise data initiatives.
Required Skills
- 8+ years of experience in Data Engineering and Analytics.
- Strong hands-on expertise in Microsoft Fabric (Data Factory, Lakehouse, Warehouse, Power BI, OneLake).
- Experience with IQ/Ontologies, Semantic Modeling, Knowledge Graphs, or related semantic technologies.
- Advanced Python programming skills for data processing and automation.
- Strong understanding of data architecture, ETL/ELT, data modeling, and cloud-native analytics platforms.
- Experience working directly with business stakeholders and enterprise-scale data ecosystems.
Preferred Qualifications
- Experience with knowledge graphs, metadata management, and semantic search solutions.
- Exposure to AI/GenAI-enabled data platforms.
- Microsoft Fabric and Azure certifications preferred.
