AVP, Data Engineer-Philadelphia or Whitehouse Station, NJ

Georgia Tek Systems

  • Whitehouse Station, NJ
  • 3 days ago

    Highlights

    Our group is responsible for collating data from several disparate systems and platforms to provide analytic solutions for the world's largest publicly traded property and casualty insurer. Implementing BI processes so end users can quickly and easily derive value from billion row datasets.

    Numbers & Facts

    LocationWhitehouse Station, NJ

    Description

    AVP, Data Engineer
    Location: Philadelphia, PA or Whitehouse Station, NJ . Hybrid role 3 days in office
    Duration: 6 months + CTH

    Job description

    Client team is a small, agile group of technology enthusiasts. We are tasked with solving the complex data needs of both US and International reserving and pricing actuaries. Our group is responsible for collating data from several disparate systems and platforms to provide analytic solutions for the world's largest publicly traded property and casualty insurer. Our systems are the foundation for the loss triangles which are reported externally and ensure we have the capital to pay future claims.

    This position is for a full-time AVP Data Engineer in either our Philadelphia, PA or Whitehouse Station, NJ office.

    WHAT YOU'LL BE WORKING ON

    Expanding our new claim data warehouse responsible for producing actuarial loss triangles
    Implementing BI processes so end users can quickly and easily derive value from billion row datasets
    Creating of new ETL process to accurately stitch data together
    Helping to design the future cloud architecture and migration of the warehouse
    Investigating, diagnosing, and actioning on business questions and requests
    Direct handling of production support and maintenance of existing financial feeds
    Delivering solutions on time and within budget, meeting both internal change management standards and external SOX controls

    QUALIFICATIONS

    Microsoft SQL Server guru with strong data warehousing fundamentals
    Fluency in other databases, coding languages (eg R, Python, .NET), and BI solutions (eg Shiny, Cognos, PowerBI)
    Proficient in DevOps tools (GIT, Jenkins, Octopus)
    Adept in Agile project management ideologies
    Extensive technical analysis and investigative capabilities
    Strong communication skills, comfortable interfacing with senior business users
    Financial/actuarial data, application, or practical experience a plus

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