Prudent Technologies and Consulting, Inc. | ELK Stack developer

ELK Stack developer(Elasticsearch, Logstash, and Kibana)Willing to join on short notice. Work Location - Hyderabad Work from Office Must Job ResponsibilitiesDesign, develop, and deploy highly scalable ELK stack solutionsInstall, configure, and tune the ELK stack cluster in an enterprise environmentContribute to high-level and low-level integration designs, configurations, and best practicesPerform end-to-end low level design, development, administration and delivery of ELK/Java solutionsParticipate in the deployment approach and configuration of the ELK platformTake ownership of creating, designing and/or implementing Kibana dashboardsCollaborate with technical teams on operational concerns of integration solutions on ELK platformMinimum requirementsKey ResponsibilitiesSolution Design & Implementation: Architect, deploy, and configure Elasticsearch clusters, Logstash pipelines, and Kibana dashboards to meet client requirements.Data Ingestion & Transformation: Design and implement ETL processes using Logstash, Beats, or custom scripts to handle diverse data sources.Dashboarding & Visualization: Create and optimize Kibana visualizations and dashboards to provide actionable insights from data.Performance Optimization: Analyze and fine-tune Elasticsearch clusters for scalability, high availability, and optimal performance.Monitoring & Troubleshooting: Set up monitoring tools, resolve technical issues, and ensure system reliability and security.Documentation: Develop comprehensive documentation for implemented solutions and provide technical guidance to teams.Collaboration: Work closely with developers, analysts, and stakeholders to integrate ELK solutions into broader systems and workflows.Required Skills & QualificationsProven experience with the Elastic Stack (Elasticsearch, Logstash, Kibana).Proficiency in query languages such as Elasticsearch Query DSL and SQL.Strong understanding of data structures, indexing, and search algorithms.Experience with Beats (Filebeat, Metricbeat, etc.) and custom data pipelines.Familiarity with scripting languages (e.g., Python, Shell) and integration tools.Knowledge of system monitoring and alerting tools.Fluency in English language for effective communicationAbility to work full-time (40 hours/week) with a 4 hour overlap with US time zonesPreferred SkillsExperience with cloud platforms (AWS, Azure, GCP) and managed Elastic solutions.Knowledge of containerization and orchestration tools like Docker and Kubernetes.Understanding of security and access control in Elasticsearch.Certification in Elastic Stack technologies is a plus.Excellent troubleshooting and problem-solving skills.Strong communication and teamwork abilities. AGG