6.0 - 11.0 years

9 - 19 Lacs

Chennai

Remote

Cluster Management and Maintenance Design and Implement Elasticsearch Clusters: Create and configure Elasticsearch clusters to meet specific performance and availability requirements. Monitor Cluster Health: Use monitoring tools to track cluster health, performance metrics, and error logs, ensuring optimal operation. Deep Understanding of Elasticsearch: Expertise in the architecture, configuration, and management of Elasticsearch clusters. Knowledge of JSON and REST APIs: Familiarity with JSON data format and RESTful API principles is crucial for interacting with Elasticsearch. Data Modeling and Indexing Techniques: Ability to design efficient data models and understand how to structure data for optimal indexing and retrieval. Familiarity with Elasticsearch Ecosystem: Knowledge of related tools like Kibana, Logstash, and Beats enhances the engineers ability to deliver complete solutions. Basic Programming Skills: Proficiency in programming languages such as Python, Java, or Go is beneficial for automation and customization tasks. Data Indexing and Query Optimization Develop Indexing Strategies: Determine how data should be indexed to maximize search efficiency and minimize latency. Optimize Queries: Analyze and refine search queries to improve response times and resource utilization. Data Integration and Transformation Integrate Data Sources: Connect Elasticsearch with various data sources, such as databases and logging frameworks, using tools like Logstash or Beats. Transform Data for Indexing: Preprocess and transform data to meet Elasticsearch indexing requirements. Collaboration and Support Work with Development Teams: Collaborate with software engineers to implement search features and improve user experiences. Provide Technical Support: Troubleshoot and resolve issues related to Elasticsearch performance, data integrity, and availability.

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