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Senior Cloud Software Engineer w/ 10 years experience

Annapolis Junction, MD · Information Technology
At least ten (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;
At least six (6) years of experience developing software using the Java programming language. At least four (4) years of this experience must have been obtained in the last seven (7) years.
Shall have demonstrated work experience with distributed scalable Big Data Store (NoSQL) such as Hbase, CloudBase/Acumulo, 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
At least four (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.
At least three (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.
In addition, the candidate will have demonstrated work experience in at least four (4) of the desired characteristics.

Preferred 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;
• At least four (4) years of either C or C++ Windows/Linux programming experience.
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