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Big Data Platform Automation Engineer in Washington, DC at Booz Allen Hamilton Inc.

Date Posted: 2/11/2019

Job Snapshot

Job Description

Job Number: R0025745

Big Data Platform Automation Engineer

Key Role:
Design and implement Big Data analytic solutions on a Hadoop-based platform. Create custom analytic and data mining algorithms to help extract knowledge and meaning from vast stores of data. Refine a data processing pipeline focused on unstructured and semi-structured data refinement. Support quick turn and rapid implementation and larger scale and longer duration analytic capability implementation.

Basic Qualifications:

-8 years of experience with development and object-oriented programming for secure Web-based applications

-2+ years of experience with supporting a Cloud-based environment

-Secret clearance
-BA or BS degree

Additional Qualifications:
-Experience with Apache Solr, Spark, or Hadoop
-Experience with R or Python
-Experience with using repository management solutions
-Experience with deploying applications in a Cloud environment
-Experience with designing and developing automated analytic software, techniques, and algorithms

-Experience with distributed scalable Big Data store or NoSQL, including Accumulo, Cloudbase, HBase, or Big Table
-Experience in MapReduce programming with Apache Hadoop and Hadoop Distributed File System (HDFS) and processing large data stores
-Experience with extending free and open-source software (FOSS) or COTS products

-Ability to show flexibility, initiative, and innovation when dealing with ambiguous and fast-paced situations

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

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