ELK Engineer – Elastic Search Development

ELK Engineer – Elastic Search Development

Design and implement highly scalable ELK (Elasticsearch, Logstash, and Kibana) stack and Elasti Cache solutions in AWS Infrastructure.

Experience in architecting data structures/data models using Elastic Search and Elasti Cache.

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 of any one of No

SQL databases like Mark Logic/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 Cloud Formation template creation and deployment of stacks.

Experience in provisioning various AWS services through Lambda Functions.

Experience in version control/source code repository tool Git and Git Hub.

Coordination with multiple teams for prod deployment and taking care of all the deployments.

Evaluation of new technology alternatives and vendor products.

System troubleshooting and problem resolution across applications as well as troubleshooting any app-specific data issues.

Must have a good hold on onshore and offshore working model & able to manage the offshore team and help them deliver.

Must have experience in application maintenance and support.

Excellent communication and collaboration skills.

Experience in any of the MDM solutions is added advantage.