Expert knowledge with the Elasticsearch platform
Must have built an enterprise level ES solution before, preferably more than once .
Design and implement highly scalable ELK (ElasticSearch, Logstash and Kibana) stack solutions.
Hands on experience in semantic search, vector search, natural language processing (NLP)
Mandatory Experience with Elasticsearch - Advanced level for Data Processing, Storage and Visualization In a large-scale enterprise environment.
Fine tune bulk load process.
Good experience in query languages and writing complex queries with joins that deals with a large amount of data.
Ability to independently build clusters, index templates and pipelines
Knowledge using Stack monitor and APIs to monitor node health.
Experience with building multiple clusters, shards, indices, alias indices et
Requirements
12+ years of overall experience with 8+ years of relevant experience
Bachelors degree or equivalent or higher education
Ability to multitask and prioritize in a fast paced, team-oriented environment
Strong Analytical and Communication skills
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