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. Support business development, market investments, and client engagements related to big data analytic solutions.
-3+ years of experience with big data analytics
-Experience with using Hadoop-related or similar distributed computing technologies
-Experience with leveraging NoSQL database systems, including Accumulo, HBase, and Cassandra
-Experience with complex data processing pipelines, including ETL and data ingestion dealing with unstructured and semi-structured data
-Experience with named entity extraction and resolution across a corpus of diverse data sets
-Experience with implementing rapid response query solutions on big data platforms, including indexing for combinations and variations of temporal, spatial, and textual
-Experience with implementing and leveraging Solr, elasticsearch, or other scalable Lucene or similar text search engine implementation
-Experience with implementing and leveraging geospatial indexes in PostGIS or Solr 4.0
-BA or BS degree
-Experience with moderate relational database, including SQL
-Experience with exposing query and analytic capabilities as SOAP-based or RESTful services
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
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Job : Software Development
Primary Location : United States-Virginia-Herndon
Travel : No
Facility: United States
Department: Software Development