Job Number: 01207241
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, rapid implementations, 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 distributed computing technologies, including Hadoop MapReduce and Spark to write data analytic processing jobs both in batch and streaming against structured and unstructured data
-Experience with leveraging NoSQL database systems, including Accumulo, HBase, or Neo4j
-Experience in complex data processing pipelines, including ETL and data ingestion dealing with unstructured and structured data
-Experience with named entity extraction and resolution across a corpus of diverse data sets
-Experience with implementing and leveraging geospatial indexes in PostGIS or Solr 4.0
-BA or BS degree
-Experience with implementing rapid response query solutions on Big Data platforms, including indexing for temporal, spatial, and textual combinations and variations
-Experience with implementing and leveraging Solr, Elasticsearch, other scalable Lucene, or similar search engine implementation
-Experience with moderate relational databases, including SQL
-Experience with exposing query and analytic capabilities, including 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 Information Technology
Primary Location United States-Virginia-Herndon
Ad Code SIG2016, TMJ16
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