Data Modeler ( Mortgage Insurance)

Ventures Unlimited
Thousand Oaks, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Thousand Oaks, United States of America

Tech stack

Adaptable Database Systems
Data Transformation
Data Structures
Data Warehousing
Relational Databases
Database Design
Dimensional Modeling
JSON
Parsing
SQL Databases
Enterprise Data Management
Scripting (Bash/Python/Go/Ruby)
Snowflake
Semi-structured Data
Star Schema
Data Management
Physical Data Models

Job description

  • Design, develop, and maintain conceptual, logical, and physical data models for enterprise data platforms.
  • Build and optimize data models for Snowflake data warehouse environments.
  • Write complex and optimized SQL queries for data transformation, validation, and analysis.
  • Work with semi-structured data (JSON) for ingestion, parsing, and transformation.
  • Collaborate closely with Product Owners, data engineers, analysts, and business stakeholders to translate business requirements into scalable data models.
  • Implement best practices for data modeling, naming conventions, and documentation.
  • Optimize data structures to improve performance, scalability, and data accessibility.
  • Maintain data documentation, lineage, and metadata for enterprise datasets.

Requirements

The associate must have knowledge on Mortgage Insurance

Mandatory : Mortgage associates experienced in Servicing domain specifically Active ,Default and Secondary Market + MISMO to be considered for the role

We are seeking an experienced Data Modeler with 8+ years of experience in designing and implementing scalable data models. The ideal candidate should have strong expertise in SQL, hands-on experience with Snowflake, and experience working with JSON scripting and semi-structured data. The role will collaborate closely with Product Owners, data engineers, analysts, and business stakeholders to design efficient data models that support analytics and reporting needs., * 8+ years of experience in data modeling and database design.

  • Strong expertise in SQL and relational database concepts.
  • Hands-on experience with Snowflake data warehouse.
  • Experience working with JSON scripting and semi-structured data.
  • Strong understanding of dimensional modeling (Star Schema, Snowflake Schema).
  • Experience collaborating with cross-functional teams including Product Owners.
  • Excellent analytical, problem-solving, and communication skills.

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