Lead Data Modeler (Insurance Domain)
Overview
Experience Required: 12+ Years
Location: PAN India
Domain: Insurance (Workers Compensation, Commercial Multi-Peril, Excess & Surplus, Excess Casualty, Casualty)
Core Technologies: Snowflake, dbt, Power BI, ERwin Data Modeler, SQL
Job Description
Design and develop Logical Physical Data Models for Data Warehouse Data Mart layers in Snowflake
Create and maintain Source to Target Mapping STM documents ensure accurate data mapping for policy claims and financial domains
Define data entities attributes and relationships based on business requirements data sources and analytical needs
Validate transformation logic for downstream consumption layers used by DBT pipelines and Power BI models
Conduct in-depth data analysis and profiling including JSON payload understanding and complex domain structures
Ensure conformance to dimensional modelling normalization denormalization practices
Collaborate closely with Data Engineers to design optimized structures supporting DBT pipelines and Snowflake performance considerations
Technical Primary Skills
12 years of extensive Hands-on experience in Data modelling with Insurance domain background
Experience working in Data warehousing setting
Experience in translating business requirements into logical and physical data model
Design and implement effective data models in Snowflake optimizing for analytical and operational reporting needs
Ability to perform data analysis on source data to come up with relevant models
Experience in developing SCD1/SCD2/SCD3 Dimension Data models and data warehouse
Strong experience working with Erwin Data Modeler for conceptual logical and physical models
Strong in Snowflake data warehousing concepts staging curated layers marts
Strong SQL skills with the ability to validate transformations and model outputs
Knowledge of handling JSON/XML structures schema interpretation and source payload analysis
Strong understanding of data integration issues valid
📌 Lead Data Modeler (Gurugram)
🏢 Neev
📍 Gurugram