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21 hours ago

bangalore, India QualityKiosk Technologies Full time

Total Experience – 7 to 10 Years Job Location: Mumbai (For 3 Months or whenever required he will travel to Overseas project) Budget – 7 to 10 Years –20 LPA to 25 LPA Initial 4 months in Saudi Arabia, followed by a USA visa opportunity on joining. 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.

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