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Data Analytics Engineer

  • GE Transportation
  • Experienced
  • Posted 5/8/2017 3:49:41 PM
  • 2859716
  • Job Function: Digital Technology
  • Business Segment: GET Transportation
Location(s): United States; Florida; West Melbourne


About Us:
GE is the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.
As a division of General Electric Company, GE Transportation is a global technology leader and supplier to the railroad, mining, marine, stationary power, and drilling industries. We drive change and progress — by rail and across oceans. We go farther and dig deeper, with advanced technology that connects people, data and machines, so resources can be gathered, goods can be transported and economies can thrive. GE Transportation is headquartered in Chicago, IL, and employs approximately 12,000 employees worldwide. Learn more about GE Transportation today!
GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Role Summary:
The Data Analytics Engineer will work with the team to create state-of-the-art data and analytics driven solutions, developing and deploying cutting edge scalable algorithms, working across GE Transportation to drive business analytics to a new level of predictive analytics while leveraging big data tools and technologies. You will be supporting all aspects of the Movement Planner business from early customer engagement through railroad operations modeling through customer analytics delivery.

Essential Responsibilities:

In addition, you will:

  • Architect, Design and develop new systems and tools to
    enable users to consume and understand data faster
  • Work across multiple cross-functional teams in high
    visibility roles and own the data solution end-to-end
  • Adopt a FastWorks mindset to support Business data and
    analytics project
  • Help drive a best-in-class data engineering practice that
    will be leveraged across GE
  • Participates in setting strategy and standards through data
    architecture and implementation leveraging big data and analytics tools and
    technologies
  • Work in an Agile development environment
  • Engineers structured and unstructured data from source
    systems to fit business needs



Qualifications/Requirements:

Basic Qualifications:

  • Bachelor's Degree in Computer Science, Information
    Technology or equivalent (STEM) with minimum 2 years of experience as data
    engineer / scientist / analyst
  • Minimum of 2 year of experience using analytics tools such
    as R and/or MATLAB
  • Minimum of 1 year of experience working on Database(s), SQL

Eligibility Requirements:

  • Legal authorization to work in the U.S. is required. GE may
    agree to sponsor an individual for an employment visa now or in the future if
    there is a shortage of individuals with particular skills.
  • Willingness to travel



Desired Characteristics:

  • Advanced degree
  • Statistics background
  • Experience with tools such as GITHub
  • Primary role in recent positions must be as a Lead Data /
    Big Data Engineer
  • Ability to leverage data assets to respond to complex
    questions that require timely answers
  • Must have superior communication skills - both oral and
    written

#DTR



Locations: United States; Florida; West Melbourne

GE offers a great work environment, professional development, challenging careers, and competitive compensation.  GE is an Equal Opportunity Employer.  Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
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