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Big Data Geospatial Engineer

St. Louis, Missouri, US Apply Later Job ID 01DDL

The Information Technology team at Monsanto integrates technology and scientific expertise into our efforts to revolutionize plant breeding and biotechnology. As an IT professional with Monsanto, the work you perform will be interesting and challenging, and you’ll be directly involved in the development of new systems and applications. Working in Monsanto IT, you can feel proud that the work you do directly affects Monsanto and helps to support our goals of producing more, conserving more and improving lives all across the globe.

Monsanto has built an industry-leading Big Data Platform to transform domains as diverse as genomics to precision agriculture.  We are looking for a Geospatial Big Data Engineer who will be involved in the design of big data solutions that leverage open source and cloud-based solutions within the Location360 enterprise initiative and will work with multiple teams across the organization (i.e. cloud analytics, data architects, business groups). You will participate in the building of large-scale data processing systems, be an expert in data warehousing solutions and can work with the latest (NoSQL) database technologies.

As a Geospatial Big Data Engineer, you will embrace the challenge of dealing with petabyte or even exabytes of data daily. You will also understand how to apply technologies to solve big data problems and to develop innovative big data solutions. You will generally work on implementing complex big data projects with a focus on collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into insights using multiple platforms. As a Geospatial Big Data Engineer you should be able to develop prototypes and proof of concepts for the selected solutions. This role will drive the engineering and building of geospatial data assets to support Monsanto’s Field Platform and R&D product pipeline by working in projects such as PPP, ASP3 and Climate’s research farms data curation initiative.

Key responsibilities include:


- Understand and incorporate current and new environmental data sets


- Proactively integrate environmental data into field management systems


- Stay abreast of public domain data sets that are relevant to Monsanto’s biotechnology pipeline.


- Partner within Monsanto data manager communities to bring needed data sets into GIS and Big Data analytical environments


- Lead the advancement in Monsanto’s understanding of environmental influences on field performance and risk factors

Minimum Requirements:

Bachelor’s degree in Computer Science or related discipline required.


- +2 year’s experience working with Hadoop based technologies such as MapReduce, Hive MongoDB, Cassandra or other NoSQL/ Big Data platform


- +2 year’s experience working with Geospatial Information Systems (GIS) such as ESRI Desktop, Oracle Spatial, or GeoServer.


- +3 year’s experience working with Java, Scala, Python, or similar development language.


- Extensive knowledge in different programming or scripting languages like Java, Linux, C++, PHP, Ruby, Python and/or R.


- Experience working with raster and vector data sets applying GDAL


- Experience developing REST style and OGC APIs that serve up geospatial data leveraging GeoServer 


- Demonstrated strong SQL skills


- Demonstrated strong Unix scripting skills


- Demonstrated experience utilizing REST, SOAP, or other data service methodologies


- Demonstrated experience adapting to new technologies


Desirable qualifications:


- Demonstrated knowledge of agriculture and/or agriculture oriented businesses


- Experience implementing complex big data projects with a focus on collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into insights using multiple platforms.


- Capable to decide on the needed hardware and software design needs and act according to the decisions. The big data engineer should be able to develop prototypes and proof of concepts for the selected solutions.


- Experience with object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and large-scale data infrastructures should be present.


- Experience creating cloud computing solutions and web applications leveraging public and private API’s

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