Position Description

• Support customers in analyzing data using descriptive, exploratory, predictive, explanatory, and prescriptive methods with the creation of automation using the latest machine learning, business intelligence, search, and intelligent data technologies.
  
• Create and modify applications using Java, distributed processing, and web technologies as part of a broader development team.
  
• Research, design, develop, analyze, and modify Cloud-based enterprise-wide systems and applications software.
  
• Support the planning of system and development deployment and meeting software compliance standards.
  
• Evaluate the interface between hardware and software, operational requirements, and characteristics of the overall system, identify optimizations, and convincingly communicate recommendations to customers and team.
  
• Provide expertise in the use of Cloud architectures and solutions to support software development in a DevOps environment.
  
• Leverage complete comprehension and wide application of technical principles, theories, and concepts in the field and apply general knowledge of other related disciplines.
  
• Provide technical solutions to a wide range of difficult problems.
  
• Determine and provide analysis for approach to solutions.
  

Requirements

• TS/SCI
  
• BS degree in CS, Statistics, Mathematics, or Engineering
  
• Experience with distributed data processing architectures and frameworks, such as Hadoop, Hive, Spark, SOLR, Elastic Search, Kafka, Impala, and Cassandra
  
• Experience with Amazon Web Services (AWS), such as ECS, Lambda, and S3
  
• Experience in trouble-shooting very complex distributed environments, including following stack traces back to code and come up with a root cause
  
• Experience with Extract, Transform, and Load (ETL) processes, including document parsing techniques and managing large data sets, at multi-TB scale
  
• Knowledge of Web services environments, languages, and formats, especially Java, SQL, XML, JavaScript, RESTful APIs, SOAP, HTML, KML and JSON
  
• Experience with Oracle, Celect, Informatica, Cloudera, Javlin, and other Business Intelligence (BI) technologies a plus
  
• Applied statistics or data science experience a plus