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Lead Data Modeler (Insurance Domain) Overview

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Onsite

Lead Data Modeler (Insurance Domain) Overview

Neev Group Of Companies

Lead Data Modeler (Insurance Domain) Overview

Skills

SQL QueriesSnowflakeData AnalysisdbtPower BI

2 months ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

17 August 2026

What they need


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 environment
  • 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 validation and cleaning familiarity with complex data and structures
  • Experience working with agile methodology

Secondary Skills

  • Insurance Domain Expertise in LOB like Workers Compensation WC Commercial Multi-Peril CMP Excess Surplus ES Excess Casualty XS Casualty

Soft Skills

  • Strong analytical thinking and ability to interpret complex business logic
  • Proactive communication and documentation skills
  • Ability to work in fast paced multi-LOB data programs

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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