About the role
Skills Required
- 7–10 years of hands-on experience in data modelling within complex enterprise environments
- Strong expertise in conceptual, logical, and physical data modelling
- Deep understanding of entities, attributes, relationships, keys, constraints, and normalization
- Proven ability to model complex, cross-domain data landscapes
- Experience in dimensional modelling and building semantic layers for reporting/BI
- Preferred domain knowledge in Manufacturing and Supply Chain
- Strong understanding of relational data models and cloud-native architectures (lakehouse, distributed data, Fabric/Synapse)
- Exposure to NoSQL and dimensional modelling patterns is a plus
- Familiarity with data warehousing, analytics, and system integration concepts
- Experience with data modelling tools and structured documentation practices
Requirements
- 7–10 years of hands-on experience in data modelling within complex enterprise environments
- Strong expertise in conceptual, logical, and physical data modelling
- Deep understanding of entities, attributes, relationships, keys, constraints, and normalization
- Proven ability to model complex, cross-domain data landscapes
- Experience in dimensional modelling and building semantic layers for reporting/BI
- Strong understanding of relational data models and cloud-native architectures (lakehouse, distributed data, Fabric/Synapse)
- Familiarity with data warehousing, analytics, and system integration concepts
- Experience with data modelling tools and structured documentation practices
Skills
FabricNoSQLSynapse
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