Big Data Platform Automation Engineer
Washington, DC

Job Description

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

Clearance:

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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