26 Jul
Analytics Engineer - ELK Analytics Engineer
California, Sanluisobispo , 93401 Sanluisobispo USA

Vacancy expired!

The Analytics Engineer is an entry level position with StreamGuys that is responsible for assisting in the development and maintenance of analytics applications for the company within our Elasticsearch platform. A successful Analytics Engineer for ELK will demonstrate a fundamental ability to communicate, work within small rapid deployment teams, and properly convey company needs into functional code.

Duties and Expectations:Develop data pipelines to include ETL and streaming data such as log data to indicesImplement data models, storage strategies, index strategiesDesign large scale data set queries for processing and visualizationDeploy and maintain clustered ELK environmentDesign and develop visualizations both within Kibana and other company products via APIWrite technical documentation of produced workflows and inter-system architectureAdhere to project tracker usage for code revisions and issue handlingAssist in troubleshooting analytics products alongside client onboarding and data migration processes

Knowledge, Skills, and Requirements for Analytics Software Developer:Bachelor’s Degree in Computer Science or similar experience required1+ years experience in developing with the ELK(Elasticsearch/Logstash/Kibana) software stackData ingest techniques - log shippers such as Vector, Beats, Splunk, etc.Fundamental understanding of statistics and applied mathematicsExperience with server side scripting languages such as PHP, Node.js, Python, and GoLang(Optional) Experience with Perl 5Experience managing clustered environments, microservice architectures, inter- system communication methodologiesKnowledge of code versioning best practices and usage of repository management applications like gitCritical thinking and effective communication skillsWorking unsupervised on individual tasks(Preferred) Experience with the streaming industry or radio industry, familiarity with concepts like live streams and podcasts, understanding of metrics associated with audience size and content consumptionRemote work options available

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