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.
