Role Overview We are looking for an experienced Data Modeler with strong expertise in SQL, data modeling, data warehousing, and up-to-date cloud data platforms. The ideal candidate should have hands-on experience in dimensional modeling, Databricks, Delta Lake, and semantic modeling to design scalable data models supporting enterprise analytics and BI requirements.

Key Responsibilities
• Design, develop, and maintain conceptual, logical, and physical data models.
• Build scalable data models for enterprise data warehousing and analytics.
• Implement dimensional modeling techniques, including Star and Snowflake schemas.
• Work with Databricks, Delta Lake, Databricks SQL, and Medallion Architecture.
• Design semantic models, semantic views, metric definitions, and BI semantic layers.
• Develop and optimize SQL queries for data transformation, integration, and reporting.
• Collaborate with data engineers, architects, business analysts, and BI teams.
• Ensure data consistency, integrity, quality, and standardization.
• Maintain technical documentation covering data models, business definitions, relationships, and metadata. Mandatory Skills
• 6+ years of overall experience with at least 2+ years in Data Modeling.




• Strong SQL and database concepts.
• Hands-on experience in Data Modeling and Data Warehousing.
• Strong understanding of Dimensional Modeling, Star Schema, and Snowflake Schema.
• Experience with Databricks, Delta Lake, Databricks SQL, and Medallion Architecture.
• Hands-on experience in Semantic Modeling, semantic views, metric definitions, and BI semantic layers.
• Robust communication and documentation skills. Good to Have
• Finance domain

experience:
General Ledger (GL), Revenue, Accounts Payable (AP), Accounts Receivable (AR), and Procurement.
• Experience with ERwin, ER/Studio, PowerDesigner, SQLDBM, or Lucidchart.
• Exposure to cloud data platforms and up-to-date data engineering environments. Preferred Candidate Profile
• Strong analytical and problem-solving skills.
• Ability to translate business requirements into structured data models.
• Understanding of data governance and modeling best practices.
• Good stakeholder management and cross-functional collaboration skills.

Skills:
delta lake,sql,semantic modeling,snowflake schema,star,data modeling,databricks,dimensional modeling,data warehousing

📌 Data Modeler Bengaluru
🏢 Durapid Technologies Private
📍 Bengaluru