Vacancy expired!
- Design and implement highly scalable ELK (ElasticSearch, Logstash, and Kibana) stack and ElastiCache solutions in AWS Infrastructure.
- Experience in architecting data structures / data model using Elastic Search and ElastiCache.
- Good experience in query languages and writing complex queries with joins that deals with a large amount of data
- Experience in configuring and performance tuning large clusters.
- Strong understanding of Elasticsearch index configuration options
- Advanced knowledge of Elasticsearch sharding, partitioning, aliases, watchers, etc.,
- Strong experience with node.js (or) Java programming language.
- Good understanding on any one of nosql databases like MarkLogic/MongoDB/DynamoDB and etc.,
- Designing and deploying applications utilizing AWS stack (Including EC2, ECS, EBS, ELB, SQS, S3, Lambda, IAM, SNS, API Gateway, VPC, Transit Gateway & Cloud Watch)
- Must be familiar with CloudFormation template creation and deployment of stacks.
- Experience in provisioning of various AWS services through Lambda Functions.
- Experience on version control/source code repository tool Git and Github.
Vacancy expired!