FBS Associate Data Engineer

Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world.

This position applies analytics and modeling techniques to improve business results. Performs routine assignments and leverages customer information and behavioral data to influence strategic business decisions

Role Responsibilities:

• Utilizes conceptual knowledge of consumer analytics including retention models, agency economics, and lead optimization in their daily work.
• Basic Programing, ETL and modeling methods to execute projects and assists the team through examples of good technical skills.
• Knowledge on largescale structured and unstructured multidimensional data using conceptual knowledge of opensource cloudenabled analytical programming languages.
• Develops ability to consult on data extraction, data manipulation and data design for statistical, modeling and monitoring
• Contributes to development of presentations. Occasionally communicates complex technical material understandable to nontechnical associates.
• Executes intermediate model deployments via established MLOps techniques.
• Works with analytics and IT teams to deploy modelsrules

• Requirements

  • 1 3 years of experience as a data engineer
  • BS in Computer Science, Data Engineering (Big Data, AWS certification), Data Modeling or similar
  • Full English Fluency
  • Data Pipeline Development
  • ETLELT Design with DBT
  • Cloud Data Engineering (AWS) – S3, Glue, Lambda, Step Functions, and IAM
  • Performance Optimization
  • CICD Automation

  • Skills & Competencies

    • Strong verbal communication and listening skills
    • Proficient in Microsoft Office Suite
    • Ability to influence internal andor external constituents.

    • Software Tool Skills

      • Basic knowledge of data analysis, manipulation tools (SQL, Python, SAS, R, andor Snowflake)
      • Cloud computing services (AWS).
      • Certification in AWS, PLUS
      • Iceberg Tables PLUS
      • Familiarity with data visualization tools (Tableau, Power BI).
      • ETL Programming and Modelling: Structure and structure, Data Manipullation, Medallion Architecture

      • Benefits

        This position comes with competitive compensation and benefits package:

        1. Competitive salary and performancebased bonuses
        3. Comprehensive benefits package
        5. Career development and training opportunities
        7. Flexible work arrangements (remote andor officebased)
        9. Dynamic and inclusive work culture within a globally renowned group
        11. Private Health Insurance
        13. Pension Plan
        15. Paid Time Off
        17. Training & Development

        18. About Capgemini

            Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.