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 implementations and larger scale and longer duration analytic capability implementations.
Basic Qualifications:
-6+ years of 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 with processing large data stores
-Experience with the design and development of multiple object–oriented systems
-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
-Ability to obtain a security clearance
-BA or BS degree
Additional Qualifications:
-Experience with Apache Solr 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
-MA or MS degree
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
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