Leverage expertise in structured and unstructured data to perform data engineering activities on some of the industry's coolest cutting-edge projects and work with Big Data tools. Architect data systems stand up data platforms, build-out ETL pipelines, write custom codes, interface with data stores, perform data ingestion, and build data models. Assess, design, build, and maintain scalable data platforms that use the latest and best in Big Data tools. Perform analytical exploration and examination of data from multiple sources of data. Work in a Scrum-based Agile environment with a multi-disciplinary team of analysts, data engineers, data scientists, developers, and data consumers pushing the envelope of bleeding-edge Big Data implementations.
Experience as a data engineer or database developer
Experience with Python, Java, and R
Experience with developing SQL scripts
Ability to obtain a security clearance
BA or BS degree
Experience with Agile software development
Experience with using Lucene-based search engines, including ElasticSearch or Solr
Experience with Big Data ETL tools, including StreamSets and NiFi
Experience with Big Data systems, including Hadoop, HDFS, Hive, or Cloudera
Experience in working with enterprise and production systems
Ability to display a positive, can-do attitude to solve the challenges of tomorrow
Ability to learn technical concepts and communicate with multiple functional groups
Possession of excellent oral and written communication skills
Hortonworks, Cloudera, or Big data Certification
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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