Lead Data Modeler (Insurance Domain) Overview

Department Icon Insurance- General Insurance
93+ Applicants
Posted: 1 week ago
12-14 years
Delhi, Delhi
work from office

Posted: 1 week ago
|
Applicants: 93+
Job Description
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Job Description

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

  • 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
Skills: excess,snowflake,dbt,data,data models,insurance

Skills

Insurance

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Important dates & deadlines?

Application Deadline

17 Oct 26, 04:02 PM IST

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Lead Data Modeler (Insurance Domain) Overview

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