• Database Engineer

    Job Locations 3 weeks ago(7/25/2018 3:15 PM)
    Requisition ID
    Posted Date
    Advanced Analytics
    32 Avenue of Americas
  • Overview

    Database Engineer


    360i Advanced Analytics is about system building, knowledge discovery, and decision making. Our clients depend on our diverse experiences and approaches to develop scalable solutions for their business needs.


    For this role, we are looking for someone who wants to build data infrastructure. You will have the opportunity to experiment with new technologies and methodologies while building robust intelligence systems and predictive modeling solutions.


    Roles & Responsibilities:


    • Build scalable analytics systems for clients across the agency
    • Work with clients and agency teams to discover context and define requirements
    • Design systems to make data accessible and useful
    • Build large scale data warehousing solutions
    • Develop and manage data pipelines and integrations
    • Understand and implement automated business rules and analyses





    • Plays well with others
    • 2+ years working experience with Bachelor's Degree in a quantitative field
    • A sense of mission. The ability to receive direction, take ownership, and figure out the best solution using a combination of critical thinking and initiative.
    • Intuitive competence. The skills to work under uncertainty and produce good work even when the landscape is shifting and you haven't been given enough to work with.
    • Top level focus. The ability to keep high-level direction under consideration even when you're deep, deep in the weeds.
    • Trustworthiness. Able to dependably complete projects. Also requires taking responsibility for and learning from failure.


    Please have experience with the following:


    • Business intelligence: SQL databases, ETL processes, big data processing
    • Business tools: Powerpoint, Excel
    • Cloud infrastructure: AWS or Google Cloud
    • DevOps tools: Kanban boards, Git, Jira
    • Marketing data: display, search, social
    • Scientific Python libraries: Pandas, Scikit, Statsmodels
    • Web Data visualization: Commercial dashboarding tools, Vega, D3.js, Altair, Flas


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