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REQUIRED QUALIFICATIONS

• 10 years experience in software development/engineering, including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution.
• The individual must be able to communicate directions and provide guidance to junior programmer/analysts, as required
• 6 years of experience developing software using the Java programming language.
• Shall have demonstrated work experience with distributed scalable Big Data Store (NoSQL) such as Hbase, CloudBase/Accumulo, Big Table, etc.
• Demonstrated work experience with the Map Reduce programming model and technologies such as Hadoop, Hive, Pig, etc.
• Demonstrated work experience with the Hadoop Distributed File System (HDFS)
• Demonstrated work experience with serialization such as JSON and/or BSON
• 4 years experience developing software for Windows (2000, 2003, XP, Vista), or UNIX/Linux (Redhat versions 3-5) operating systems.
• Demonstrated work experience in the design and development of at least one Object Oriented system.
• Demonstrated work experience developing solutions integrating and extending FOSS/COTS products.
• 3 years experience in software integration and software testing, to include developing and implementing test plans and test scripts.
• Demonstrated technical writing skills and shall have generated technical documents in support of a software development project.

DESIRED QUALIFICATIONS

• Experience with MongoDB
• Experience with MapReduce
• Experience with Apache NiFi
• Experience with Machine Learning
• Experience with Streaming
• Experience deploying applications in a cloud environment.
• Understanding of Cloud Scalability
• Hadoop I Cloud Certification
• Experience designing and developing automated analytic software, techniques, and algorithms.
• Experience developing and deploying: analytics that include foreign language processing; analytic processes that incorporate/integrate multi-media technologies, including speech, text, image and video exploitation; analytics that function on massive data sets, for example, more than a billion rows or larger than 10 Petabytes; analytics that employ semantic relationships (i.e., inference engines) between structured and unstructured data sets; analytics that identify latent patterns between elements of massive data sets, for example more than a billion rows or larger than 10 Petabytes; analytics that employ techniques commonly associated with Artificial Intelligence, for example genetic algorithms.
• Experience with taxonomy construction for analytic disciplines, knowledge areas and skills.
• Experience developing and deploying: data driven analytics; event driven analytics; sets of analytics orchestrated through rules engines.
• Experience with linguistics (grammar, morphology, concepts).
• Experience developing and deploying analytics that discover and exploit social networks.
• Experience documenting ontologies, data models, schemas, formats, data element dictionaries, software application program interfaces and other technical specifications.
• Experience developing and deploying analytics within a heterogeneous schema environment;
• C or C++ Windows/Linux programming experience

CLEARANCE

• TS/SCI with Full Scope Polygraph

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