Java Lead with Strong Bigdata

Position: Java Lead with Strong Bigdata

Job Location McLean VA. (Day1 Onsite 3 days Onsite & 2 Days remote)

Job Description

Mandatory:

• 10 years of experience in solution design and development of applications using Java 8/J2EE Spring SpringBoot Micro Services RESTful Services and with experience in Big Data and with experience working in heavy data background needed.
• Must have strong experience in Big Data and with experience working in heavy data background needed.
• Must be strong in Cloud AWS eventbased architecture Kubernetes ELK (Elasticsearch Logstash & Kibana)
• Must have excellent experience in designing and Implementing cloudbased solutions in various AWS Services (: s3 Lambda Step Function AMQ SNS SQS CloudWatch Events etc.)
• Must be well experienced in design and development of Microservice using SpringBoot and REST API and with GraphQL
• Must have solid knowledge and experience in NoSQL (MongoDB)
• Good knowledge and experience in any Queue based implementations.
• Strong knowledge/experience in ORM Framework JPA / Hibernate
• Good knowledge in technical concepts Security Transaction Monitoring Performance
• Should we well versed with TDD/ATDD
• Should have experience on Java Python and Spark
• 2 years of experience in designing and Implementing cloudbased solutions in various AWS Services
• Strong experience in DevOps tool chain (Jenkins Artifactory Ansible/Chef/Puppet/Spinnaker Maven/Gradle Atlassian Tool suite)
• Very Good knowledge and experience in NonFunctional (Technical) Requirements like Security Transaction Performance etc.

Nice to have:

• Experience in any one of the UI Framework Angular / ReactJS
• Experience in Experience with OAuth implementation using Ping Identity
• Experience in API Management (Apigee) or Service Mesh (Istio)
• Good knowledge and experience in Queue/Topic (ActiveMQ) based implementations
• Good knowledge and experience in Scheduler and Batch Jobs
• Experience with scripting languages using Unix
• Preferably certified in AWS

Core Java,Big Data,AWS,Kubernetes,ELK,NoSQL,Python,Spark