Elastic Search Developer

1 week ago


India Quess Full time
About Us "Quess IT Staffing is India's largest IT staffing company with over 20 years of experience in staffing IT professionals in 300+ companies across levels and skillsets. Our 10,000+ associates deployed in 80+ cities and towns are proficient in over 500 technological skills. Our associates help enable cutting edge solutions some of the biggest names across industried. Quess IT Staffing is a division of Quess Corp Limited, India's leading business services provider and largest domestic private sector employer. Quess Corp Limited is - 'A Great Place to Work' certified – a testament to our excellent culture, people, and processes." About Company Roles and Responsibility

Job Title: Elastic Search Developer

Experience:4-7 Years

NoticePeriod: Immediate to 15 days

Location: Hyderabad

JD:

·ELK with Logstash and Kibana:

· Experience installing and developing on ELKstack

· Working with teams to design Ingestion Pipelines,Integration APIs

· Very good knowledge on creating visualizationand Dashboards using kibana

· Indexing and Querying: Utilizing Elasticsearchto store and index data efficiently, enabling quick and accurate search andretrieval of log information

· Data Visualization: Using Kibana to createdashboards, visualizations, and reports to analyze log data, track performancemetrics, and monitor system health

· Able to configure ELK dashboard for customapplications

· Pipeline Optimization: Developing andoptimizing Logstash pipelines to ensure efficient data flow, transformation,and enrichment before indexing in Elasticsearch

· Hands-on experience in writing JSON queries toselect/insert/update/delete data in Elasticsearch.

· Designing and implementing solutions forcentralized logs, infrastructure and health metrics, distributed tracing fordifferent applications.

· Troubleshooting and Performance Tuning:Identifying and resolving issues related to data ingestion, indexing, or queryingwithin the ELK stack

· ELK Stack Proficiency: Strong expertise inElasticsearch, Logstash, and Kibana functionalities and configurations

· Log Management: Understanding of log managementprinciples and best practices

· Data Analysis: Ability to extract insights andmeaningful information from log data using ELK stack

· Scripting and Automation: Good knowledge on Linuxand Schell scripting or Python scripting to enhance ELK stack capabilities

· Troubleshooting Skills: Capability totroubleshoot issues and optimize ELK stack performance

· Configured logstash: input, filter, outputplugins - database, jms, log file sources and elastic search as outputconverting search indexes to Elastic with large amount of data

· Configured alerts with standard tools likeservice now and other tools for various scenarios.

· Experience in Designing & Data Modelling,Bulk document indexing & Search APIs in Elastic Search



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