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Big Data Analytics Engineer
Ref No.: 16-07355
Location: St. Louis, Missouri, Missouri
Produce more. Conserve more. Improve lives. That's Monsanto's vision for a better world. Achieving this vision demands revolutionizing agriculture through technology and analytics is central to attaining this transformation.
We are seeking an exceptionally talented individual with a passion for innovation to become an integral part of our Global Analytics Team within our Plant Breeding Organization. The global analytics team is a cutting edge group providing recommendations and solutions to accelerate and optimize Monsanto's product development.

In this role, the candidate will work closely with the data science group and software engineering group to develop and implement a full end-to-end Cloud solution for our analytics backend including Infrastructure Design, Platform, Automation, and Storage Architecture. You will become an expert of AWS services that we leverage and help us to efficiently integrate our big data infrastructure in the AWS cloud. The successful candidate will have the opportunity to work collaboratively with interdisciplinary scientists internal to Monsanto, organize challenging problems, develop new solutions, and work with business & development teams to ensure these solutions deliver value.
Qualifications:
Required Skills:
  • Master's Degree in Computer Science, Engineering, or a related field
  • 3+ years post education work experience
  • Strong object oriented and or functional programming experience with at least 3+ years of experience using Python
  • Experience with virtualized infrastructure and Infrastructure as a Service (IaaS) such as Amazon Web Services, or Google Compute Engine
  • Experience with Big data ecosystem including Hbase, MongoDB, MapReduce, and Spark
  • Understanding of developing systems and software around API's and creating services and micro services.
  • Excellent verbal and written communication skills
  • Excellent project management skills, demonstrated ability to deliver detailed technical documentation and manage tasks
  • Comfortable working in a dynamic environment and developing flexible solutions to meet evolving requirements.


Employee Status:
Regular
Travel:
Yes, 5 % of the Time
Job Level:
Individual Contributor
Job Type:
Standard
More Information About the Job
Is Relocation Available?
Yes, nationwide
Are you open to sponsorship?
Yes
Are there flexible work hours?
Yes
Is there a possibility to work remote?
Yes
This position is:
New Position
Is there a bonus structure?
8%
Is there equity?
No
Who does this position report to?
Data Analytics Lead
Does this position have direct reports?
No