Platform Engineer

"Looking for an enthusiastic and talented Elastic Search Engineer with 3-5 years of hands-on experience with Elasticsearch and is eager to work in a fast-paced environment, contributing to the management, optimization, and scaling of our Elasticsearch infrastructure. Key Responsibilities: - Elasticsearch Setup & Management: Install, configure, and manage Elasticsearch clusters (version 8.x), ensuring high availability and performance. - Data Ingestion & Indexing: Assist in the configuration and optimization of data ingest pipelines, index mappings, and document indexing from across various multiple data sources. - Query Optimization: Design and implement efficient queries, aggregations, and filters to ensure optimal search performance. - Kibana Dashboards: Work with Kibana to design and manage dashboards, visualizations, and reporting for various use cases. - Data Management: Monitor and analyze data from various sources being ingested into Elasticsearch clusters, troubleshoot issues, and ensure cluster health. - Collaboration: Collaborate with development teams to ensure proper integration of Elasticsearch with applications. - Cluster Monitoring & Performance Tuning: Monitor Elasticsearch cluster health, optimize queries, and provide insights to improve performance. - Documentation: Maintain clear and concise documentation for Elasticsearch setup, configurations, and processes. - Version Upgrade: Assist in upgrading and maintaining Elasticsearch clusters and tools to the latest 8.x versions. - Troubleshooting: Identify and resolve performance issues, data inconsistencies, and errors in the Elasticsearch environment. Required Skills: - Experience: 3-5 years of hands-on experience with Elasticsearch, specifically with version 8.x. - Elasticsearch Basics: Good understanding of Elasticsearch core concepts including nodes, clusters, indices, and shards. - Data Modeling: Familiarity with defining index mappings, custom analyzers, and understanding.