Elastic Search Engineer

Total Experience – 7 to 10 Years

Job Location: Mumbai (For initial 4 Months, it will be Saudi Arabia)

Job Description:

– Relevant experience in Elastic Stack (Elastic Search, Logstash, Kibana, Filebeat, Ingest Pipeline)

– Strong experience in installing and configuring ELK. Strong experience in Design, build, deploy, maintain, and enhance ELK platform

– Strong experience in using Elastic search Indices, Elastic search APIs, Kibana Dashboards, Log stash and Log Beats

- Good experience in using or creating plugins for ELK like authentication and authorization plugins

- Troubleshoot and resolve complex issues related to data ingestion, storage, search, and visualization within the ELK stack.

– Good experience in enhancing Open-source ELK for custom capabilities

– Experience in integrating ELK with enterprise tools and APIs, for example for authentication and authorization

– Capacity Planning of Elastic Search Cluster

– Fine-tuning techniques of bulk indexing and querying

– Implement best practices for ELK stack deployment, configuration, and maintenance.

– Solid understanding of continuous integration, deployment and operations concepts

– Monitor ELK stack performance, identify bottlenecks, and implement performance optimization strategies.

– Stay up-to-date with the latest developments in the ELK stack ecosystem and recommend improvements or new features to enhance our offerings.

– Document solutions, configurations, and troubleshooting procedures for internal knowledge sharing and client support purposes.

– Mentor junior team members and provide guidance on ELK stack technologies and best practices.

– Proficiency in Elasticsearch query DSL (Domain Specific Language) for data retrieval and analysis.

– Solid understanding of log management, data parsing, and enrichment techniques using Logstash.

– Experience with ELK stack performance tuning, optimization, and scalability.