Data Engineer, Health Strategic Initiatives


Job Overview

Key Qualifications

  • Workflow scheduling/orchestration such as Airflow or Oozie
  • Big data warehousing (RDB or MPP DB) such as Oracle, Teradata, Postgress, Hive
  • Strong Python programming skills with an understanding of data analytics, linear algebra, and ML libraries such as Numpy, Scipy
  • Experience with query APIs using JSON, ProtocolBuffers, or XML
  • ML model deployment, serving, and performance monitoring
  • Description

    As a data engineer, your day-to-day tasks will be the following.* Design, implement, and maintain end-to-end data pipelines with an understanding of ML lifecycles*Drive development of data products in collaboration with data scientists and analysts

    Education & Experience

    A background in computer science, mathematics, or similar quantitative field with a minimum of 2 years of professional experience; Masters preferred

    View More
    Job Detail
    Shortlist Never pay anyone for job application test or interview.