Job Description :
Very HOT Position Need a senior Candidate.
12+ Months Complete remote.
The Geospatial Big Data Engineer 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 The big data engineer will participate in the building of large-scale data processing systems, is an expert in data warehousing solutions and should be able to work with the latest (NoSQL) database technologies.
Key responsibilities include:
Design, build and support of cloud and open source systems to process geospatial data assets via an API-based platform
Up to date knowledge of public domain data sets that are relevant to Monsanto’s product pipeline
Partners with data science and commercial communities to brings needed data sets into GIS and Big Data analytical environments
Integration of key environmental data into field management systems; provides leadership in advancing Monsanto’s understanding of environmental influences on field performance and risk factors
Minimum Requirements:
Minimum of 3-year experience with Geospatial Information Systems (GIS) such as OpenGeo Suite, Google Maps, MapBox, or CartoDB.
Minimum of 3-year experience 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 and similar spatial libraries
Experience developing REST style and OGC APIs that serve up geospatial data leveraging GeoServer or other similar open source technologies, preferably in a cloud environment
Experience in using Geo Server enabled services via JS libraries: Google Maps, OpenLayers
1. AWS, GeoServer, and Cloud experience are REQUIRED!