*Position: Python Hadoop Developer*

*Location: Denver, CO*

*Duration: 12+ months*

*Rate: $65/hr C2C*



*Pure Python role, working closely with the data scientist.*

*Experience with data cleaning, and working with Big Data sets.*

*Some experience with Java is good.*

*Experience with Hadoop (pig, hive)*



*Role Description: *

The ideal candidate will have strong, industry based development background
focused on building big data applications using Python. This role will
require an individual with a technical degree; preferably a Masters degree
but not required. Required skills include the detailed design, development
and deployment of python applications with a focus on analytics and machine
learning. The role will also require experience working with large data
sets including: ETL, data prep for model development, parsing of data and
data clean ups. This role will require interface heavily with the lead data
scientist and the development manager to build Python solutions to gain
insight into customer data.



*Required Skills: *

•             Strong background building complex analytics applications
with Python

•             The ability to develop analytical solutions from use cases

•             Experience in a big data environment such as HortonWorks or
Cloudera

•             Background in Java – building applications as a REST API and
AWS

•             Skills developing Pig and Hive



*Preferred Skills: *

•             Experience in the python ecosystem such as anaconda, Wakari,
Numpy, Scipy

•             Experience building machine learning applications with
scikit-learn

•             Some exposure to data visualization tools - including Tableau
or Bokeh Experience using packaged analytics tools such as Mahout or MLlib,

•             Exposure to real time analytics tools such as Spark or Storm

•             Experience using packaged search tools such as Solr and
elasticsearch



*Regards,*

*Rahman,       *

*Sr Resource Recruiter*

*rahm...@usmsystems.com <rahm...@usmsystems.com>*

*703 246 1849*

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