Big Data Architect, Mid at Booz Allen Hamilton Inc. (McLean, VA)
Booz Allen Hamilton has been at the forefront of strategy and technology for more than 100 years Today, the firm provides management and technology consulting and engineering services to leading Fortune 500 corporations, governments, and not-for-profits across the globe. Booz Allen partners with public and private sector clients to solve their most difficult challenges through a combination of consulting, analytics, mission operations, technology, systems delivery, cybersecurity, engineering and innovation expertise.
Big Data Architect, Mid
Design and implement Big Data analytic solutions on a Hadoopbased 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.
-3+ 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 objectoriented systems
-Experience with extending Free and OpenSource Software (FOSS) or COTS products
-Ability to show flexibility, initiative, and innovation when dealing with ambiguous and fastpaced situations
-Ability to obtain a security clearance
-BA or BS degree
-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
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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