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Data Engineer

Company: Analytic Recruiting Inc.
Location: Hancock
Posted on: February 25, 2021

Job Description:

Multi-Billion dollar American industrial company seeks a hands on Data Engineer to work either remotely or in their Wisconsin office. (Hadoop experience is a must)
US Citizenship or Green Card only Location: Wisconsin/ Michigan or Remote
Please refer to job 23693 and Submit resume to
ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Design and develop scalable ETL solutions to deliver data from source systems to analytics platforms (structured and unstructured; batch and streaming).
  • Responsible for testing and validation in order to support the accuracy of data transformations and data verification used with enterprise-wide analytics.
  • Assist in ensuring proper data governance (quality, security, etc.) within the data lake and enterprise data warehouse systems across all business segments.
  • Assist with performance-tuning data processes as well as troubleshooting data processing issues.
  • Collaborate, coordinate, and communicate across disciplines, departments and segments.
  • Develop rapid prototyping and design processes for fast solution delivery to the business.
  • Maintain reference architecture and documentation for the purposes of architectural governance and application roadmap.
  • Assist in educating others on best practices surrounding data work (i.e. data modeling, database design, ETL design, job scheduling and monitoring, etc.).
    EDUCATION AND EXPERIENCE
    • Bachelor's (minimum) degree in Computer Science or STEM-related field.
    • Three (or more) years of experience working as a data engineer, ETL developer and/or data warehouse DBA.
    • Must be highly organized and detail-oriented, with strong analytical, and problem solving skills.
    • Able to handle multiple tasks in a fast-paced environment, both independently and as part of a team.
    • Display excellent interpersonal skills as well as the ability to effectively present information and respond to questions from leadership and peers.
    • Strong proficiency with SQL, Bash, and Python (and experience with the Anaconda distribution).
    • Experience with big data tools and architectures, such as Cloudera Hadoop, HDFS, Hive, and Spark.
    • AWS experience is a huge plus.
    • Working knowledge of telematics interfaces and streaming solutions (MQTT, NiFi, Kafka, etc.).
    • Any experience with automotive or heavy duty on or off-road vehicle, digital data bus, including Ethernet or Controller Area Network (CAN) experiences a plus.
      Keywords: Data, Kafka, SQL, Bash, Python, Hadoop

Keywords: Analytic Recruiting Inc., Madison , Data Engineer, Engineering , Hancock, Wisconsin

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