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Data Engineer for Insurance Carrier - Remote

Posted 4 weeks ago
Data Analysis
Full Time
Mexico

Overview

Capgemini is seeking a highly motivated and detail-oriented Data Engineer for Insurance Carrier.

In Short

  • A data engineer role in the Specialty Data team should be able to analyze data from multiple source systems and design/model Data Marts based on business requirements.
  • Strong data analytics and technical skills are a must.
  • Ability to create data models, STTMs, and other technical documents.
  • Strong communication skills and understanding of design requirements and existing business processes.
  • Intermediate expertise in Data Vault 2.0 Modeling.
  • Advanced expertise in SQL, writing complex SQL statements.
  • Intermediate expertise in DBT, Python, and GitHub development.
  • Advanced expertise in Snowflake database.
  • Some knowledge of Mainframe, Mainframe SAS, and Distributed DB2.
  • Hands-on experience with multiple cloud platforms including AWS and Azure is preferred.

Requirements

  • Informatica development skills is a plus but not required.

Benefits

  • Opportunity to work with one of the United States’ largest insurers.
  • Engagement with a wide range of insurance and financial services products.
  • Work in a team of over 48,000 exclusive and independent agents.
  • Be part of one of the largest Insurance Groups in the world.
Capgemini logo

Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. With a diverse organization of over 340,000 team members across more than 50 countries, Capgemini is committed to unleashing human energy through technology for an inclusive and sustainable future. The company has a strong 55-year heritage and deep industry expertise, trusted by clients to address a wide range of business needs from strategy and design to operations. In 2023, Capgemini generated €22.5 billion in revenues, focusing on innovative solutions in cloud, data, AI, connectivity, software, digital engineering, and platforms.

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