Big Data Engineer
- Employer
- Gridiron IT Solutions
- Location
- Washington, DC
- Closing date
- Aug 21, 2019
View more
- Industry
- Technology and Software
- Function
- Engineer, QA Engineer, IT
- Hours
- Full Time
- Career Level
- Experienced (Non-Manager)
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Responsibilities Build out search nodes via Elastic and Solr Testing on various configurations of these search engines Optimizing search nodes and creating additional nodes and optimizing indexes Working with and learning enterprise search technologies Working with both on prem and cloud environments to test configuration sets Perform high-level, day-to-day operational maintenance, support, and upgrades for the Big Data clusters Qualifications Essential Job Requirements EducationWork Experience 3-5 years work experience with any enterprise search engineor 3 years work experience with any NoSQL Databases Required KnowledgeExperience Experience writing automated tests to ensure the quality of your software components Comfortable designing, developing, testing, and operating what you build Capacity and eagerness to learn Preferred KnowledgeExperience Familiarity with virtualization, ESXI and cloud computing and desire to work in virtualized environments. Familiarity with privacy and security development best practices Working with MongoDB Experience with MongoDB is a major plus (any experience with MongoDB is a very nice to have) Experience with UnixLinux operating systems and networking stack (eg, TCPIP, routing, network topologies and hardware, SDN) is a major plus but not required Experience with Kubernetes, Docker Other Responsibilities Perform other tasks consistent with the goals and objectives of the departmentcontract Perform other duties as assigned
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