Elastic Stack (ELK) Job

Total Experience - 3- 6 Years

Location - Mumbai

Job Description:

Expertise in end to end implementation ELK Stack covering Elasticsearch, Logstash, and Kibana.
Conceptual good understanding about Elastic search cluster ,Shards and replica
Conceptual good understanding about Elastic search configuration, API and local gateway.
In depth analysis of mapping ,Indexing and operations
In depth understanding of transactions logs and Lucene Indexing.
In depth understanding of multiple indices, index aliases and cross-index operations.
In depths understanding configurations options, ,mappings and APIs and available settings
Understanding of Search query DSL
In depth understanding of search components, aggregations, search types,, highlighting and other options.
In depth knowledge of filebeat, bitSets and Lucene
In depth understanding of aggregations and nested document relations.
In depth understanding of cluster state recovery, low level replication , low level recovery and shared allocation.
In depth understanding of performance tuning, more on data flow and memory allocation.
Good understanding in Kibana and cluster monitoring
Good understanding in Hadoop Environment and its eco system and infrastructure.
Expertise in Tuning and troubleshooting of Elastic search and its stack
Excellent knowledge in O/S and networks.
Expertise in security of the Elastic search and its stack.
Upgrade elastic search version and its stack like kibana ,logstash.
Diligently teaming with the infrastructure, network, database, application and business intelligence teams to guarantee high data quality and availability.
Excellent troubleshooting skill for elastics search.

Information above is Internshala's interpretation and paraphrasing of what we found on the shared link.