*Hi,*


*Please check the JD for Hadoop Engineer and let me know if you have any
candidates available. *



*Role         : Hadoop Engineer*



*Duration : 6+ month*



*Location : St. Louis MO*



*Interview: Phone and Skype*





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.



A big data engineer should embrace the challenge of dealing with petabyte
or even exabytes of data on a daily basis. A big data engineer understands
how to apply technologies to solve big data problems and to develop
innovative big data solutions. The big data engineer generally works 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. The big data engineer should be
able to develop prototypes and proof of concepts for the selected
solutions.





*Key responsibilities include: *



• Understanding current and incorporating new environmental data sets

• Proactively integrating environmental data into field management systems

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

• Partnerships within Monsanto data manager communities to brings needed
data sets into GIS and Big Data analytical environments

• Leadership in advancing Monsanto’s understanding of environmental
influences on field performance and risk factors.



*Minimum Requirements: *



• Minimum of 2-year experience with Hadoop based technologies such as
MapReduce, Hive MongoDB or Cassandra or other NoSQL/ Big Data platform

*• Minimum of 2-year experience with Geospatial Information Systems (GIS)
such as ESRI Desktop, Oracle Spatial, or GeoServer.*

• Minimum of 3 years experience with Java, Scala, Python, or similar
development language.

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

• 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









-- 





*Thanks and have a great day*



*Ranjeet Kumar*

*Technical Recruiter*

*Srimatrix Inc.*

*Phone No. 469.320.9415*

*Email: rku...@srimatrix.com <rku...@srimatrix.com>*

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