Data Modeler

5 hours ago

Bengaluru Karnataka, India emids Full time

**Job Role: Data Modeler**

**Experience: 6-8 yrs**

**Job Location: Bangalore**

**Notice Period: 15-30 days**

**Skills to focus: Data Modelling, CDM, DB design & DWH**

**Job Summary**:

- We are seeking a 6 to 8 Years of experience Data Modeler to join our dynamic team.
- This role will involve working extensively with SQL, DAX, Azure Data Platform, and Data Warehouses to support business intelligence, analytics, and operational data needs.

**Required & Desired Skills**:

- 6+ years in **data modelling**, database design, and data warehousing.
- Strong understanding of **Common Data Model (CDM)** and Dimensional Modelling concepts.
- Experience with Medallion Architecture and Azure Data Platform (Azure Data Factory, Azure Synapse Analytics, Databricks).
- Expertise in **SQL** (queries, stored procedures, performance tuning).
- Hands-on experience with DAX (Data Analysis Expressions) for Power BI.
- Familiarity with ETL/ELT processes and tools.
- Strong understanding of Data Warehousing concepts and implementation.

**Roles & Responsibilities**:

- Design, develop, and maintain data models using Common Data Model (CDM), Dimensional modeling techniques, and Medallion Architecture principles.
- Build and optimize complex data workflows and pipelines within the Azure Data Platform to integrate data from multiple sources into a central Data Warehouse.
- Collaborate with cross-functional teams to design and implement scalable Data Warehouse solutions, supporting both transactional and analytical systems.
- Develop and optimize DAX queries for use in Power BI and other BI tools to create high-performing analytical reports and dashboards.
- Ensure data integrity and accuracy by implementing data governance and best practices across all data assets.
- Monitor and optimize database performance, tuning queries, and improving the efficiency of data models.
- Work closely with Data Engineers, Data Analysts, and stakeholders to define data requirements and ensure data models meet business needs.
- Maintain thorough documentation of data models, structures, and processes for ongoing use and future reference.

Thanks.

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