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Job Description
- Migrate Data from Elasticsearch old Cluster to Elasticsearch new cluster
- Infrastructure design for the ELK Clusters.
- Elasticsearch and Logstash performance and configuration tuning.
- Provided design recommendations and thought leadership to improved review processes and resolved technical problems. working with product managers to architect the next generation of Workday search’s.
- Benchmark Elasticsearch for the required scenarios.
- Using X-pack for monitoring, Security on Elasticsearch
- Providing Global Search with Elasticsearch
- Elastic search experience and capacity planning and cluster maintenance. Continuously looks for ways to improve and sets a very high bar in terms of quality.
- Sync Elasticsearch Data between the data centers using Message Broker and logstash
- Install, configure, and maintain ELK stack systems
Job Requirements
- Around 5+ years of professional experience in Kibana and administration of ELK stack in which 3.5 Years of experience in ELK Stack.
- Design of highly loaded, distributed, horizontally scalable, low latency applications
- Deployment and operations of ELK Cluster
- Implementation of extremely large distributed ELKs with respect to data storage, query optimization, JVM performance optimization, security
- Worked on Kibana Dashboard for making complex dashboards
- Implemented ELK muti-node cluster AWS or on premise
- Worked on different ETL processes for the data ingestion module.
- Extensive experience with ETL technologies
- Experience in end to end design, development, Maintenance and Analysis of various types of applications using efficient Data structure
- Experience in providing Solution Architecture for Big Data projects
- Experience in Linux – Centos / Ubuntu
- Familiar with data architecture including data ingestion pipeline design, architecture, data modeling and data mining, machine learning and advanced data processing.
