Elastic Search Engineer

Job Description:

Setup ElasticSearch nodes and indices

Manage ES instances and optimize current setup for better performance.

Good knowledge in FluentD implementation

Roles & Responsibilities

• At least 5 years of experience, with 3 years of relevant experience
• Proficient in Elasticsearch Essential
• Develop and deploy scalable ELK (Elasticsearch, Logstash, Kibana) stack and Elastic Cache solutions
• Design data structures using Elasticsearch and Elasticache. Optimize bulk loading processes
• Create reports using APIs that utilize Elasticsearch and Elasticache
• Skilled in query languages and crafting complex queries for large datasets
• Lead end-to-end design, development, administration, and deployment of ELK reporting solutions
• Python experience in building REST APIs
• Familiarity with open-source libraries and tools
• Proficiency in using Git, Gitlab, GitHub, or Bitbucket for code management
• Understanding of AWS services
• Exposure to React, Angular, or Vue.js is a plus

Mandatory Skills

• Java programming
• Version Control
• Spring boot or Play framework
• Leveraging elastic search for search or log aggregation
• Index and mapping management in elastic search
• Scaling of elastic search

Good to have Skills

• Exposure to other NoSQLs
• Devops tools