Data Modeling

• Data Modeling (Contract/FTE)
• Rel. Exp (Years): 8+ Years
• Location: Hyderabad is preferred
• Hi Team,

We are experiencing a high rejection ratio for this requirement and need your immediate support to close this position at the earliest.

Kindly share more relevant and high-quality profiles matching the below mandatory skills:

Mandatory Skills:

• Data Modelling (Primary)
• Microsoft Fabric Notebook
• Fabric Pipeline
• Lakehouse
• Warehouse
• OneLake Concepts

Please prioritize candidates with strong hands-on experience in the above technologies and share only closely matching profiles.

Your prompt support is highly appreciated.

Any Project specific Prerequisite skills: Primary Skills: Data Modeling Star schema, snowflake schema, dimensional modeling, Kimball methodology, fact and dimension design, conformed dimensions, SCD patterns, bridge tables, snapshots, aggregates, normalization and denormalization.

Secondary Skills: Microsoft Data Platform Microsoft Fabric Lakehouse and Warehouse, Azure Synapse Analytics, SQL Server, Power BI semantic models, Direct Lake, SQL endpoints, and Delta Lake concepts.

Job Description W

We are specifically looking for a strong hands-on resource with proven experience in Microsoft Fabric, Azure Synapse Analytics, Enterprise Data Warehousing, and Dimensional Data Modeling. The primary responsibility of this role will be to design and implement scalable Star Schema and Snowflake Schema based data models for our enterprise reporting, analytics, and semantic modeling requirements.

Key Skills Required:

• Strong experience in Enterprise Data Warehousing (EDW)
• Expert-level knowledge of Star Schema and Snowflake Schema design
• Microsoft Fabric (Lakehouse, Warehouse, Semantic Models)
• Azure Synapse Analytics
• Power BI Semantic Modeling
• Advanced SQL / T-SQL
• Fact & Dimension modeling
• Slowly Changing Dimensions (SCD Type 1 & Type 2)
• Data Governance and Metadata Management
• Performance optimization for large-scale analytical workloads

Primary Responsibilities:

• Design conceptual, logical, and physical data models.
• Develop enterprise-grade Fact and Dimension models following industry best practices.
• Build and maintain reusable semantic models for reporting and analytics.
• Collaborate with business stakeholders, data engineers, and reporting teams to translate business requirements into scalable EDW solutions.
• Support Fabric and Synapse-based enterprise data warehouse architecture and modernization initiatives.

Establish data modeling standards, documentation, governance, and best practices.