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Indus Infotech is seeking a hands-on data modeling expert to design and implement scalable enterprise data models for reporting and analytics. The role emphasizes Star Schema and Snowflake Schema, Dimensional modeling, and strong Kimball methodology, with Microsoft Fabric and Azure Synapse as core platforms.
You will collaborate with data engineers and business stakeholders to translate requirements into scalable EDW solutions, establish standards, and contribute to governance and performance
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:
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:
Primary Responsibilities:
Establish data modeling standards, documentation, governance, and best practices.