Java Tech Lead

Job description:

12+ years of experience in solution, design and development of applications using Java 8+/J2EE, Spring, Spring-Boot, Micro Services, RESTful Services and with experience in Big Data and with experience working in heavy data background needed.

Develop, program, and maintain applications using the Apache Spark open-source framework.

Work with different aspects of the Spark ecosystem, including Spark SQL, DataFrames, Datasets, and streaming.

Spark Developer must have strong programming skills in Java, Scala, or Python.

Familiar with big data processing tools and techniques.

Proven experience as a Spark Developer or a related role.

Strong programming skills in Java, Scala, or Python.

Familiarity with big data processing tools and techniques.

Experience with the Hadoop ecosystem.

Good understanding of distributed systems.

Experience with streaming data platforms.

Must have strong experience in Big Data and with experience working in heavy data background needed.

Must be strong in Cloud AWS event-based architecture, Kubernetes, ELK (Elasticsearch, Logstash & Kibana).

Must have excellent experience in designing and Implementing cloud-based 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 Spring-Boot 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 cloud-based 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 Non-Functional (Technical) Requirements like Security, Transaction, Performance, etc.

Excellent analytical and problem-solving skills.

Nice To Have

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 (Active-MQ) based implementations

Good knowledge and experience in Scheduler and Batch Jobs

Experience with scripting languages using Unix

Preferably certified in AWS
Desired Skills and Experience
Spring, Spark, Python, Java, Kubernetes, Microservice