Senior Java & Big Data Engineer (Cloud, Microservices)

Trinity Consulting Services

Singapore

On-site

SGD 120,000 - 170,000

Full time

14 days+

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Job summary

Trinity Consulting Services is seeking an experienced Java/J2EE developer with 8+ years of hands-on experience in big data and scalable IT systems. You will work on end-to-end design and implementation, leveraging Spark/Flink/Storm, HBase, Elasticsearch and Kafka to process large data sets.

The role requires solid knowledge of cloud platforms (AWS, GCP) and proficiency with Maven, Gradle, Jenkins, Git workflows and microservices architecture in a fast-paced environment.

Qualifications

  • A bachelor's or technical degree in Computer Science, IS, or IT is preferred.
  • 8+ years of relevant Java/J2EE development experience.
  • Hands-on big data technology development experience.
  • Strong Agile/Scrum knowledge and practice.
  • End-to-end design and implementation of complex IT systems.
  • Experience with Spark, Flink or Storm and related ecosystems.
  • Proficiency with HBase, Elasticsearch, Kafka for data processing.
  • Cloud experience (AWS, GCP) and CI/CD tooling.
  • Familiarity with Maven/Gradle, Jenkins and Git-based workflows.

Skills

Java/J2EE
Big data
Agile/Scrum
End-to-end design
DevOps
Spark
Flink
Storm
HBase
Elasticsearch
Kafka
AWS
GCP
Maven
Gradle
Jenkins
Git
GitLab
JUnit
Cucumber
Jira
Sonar
Spring
Spring REST
Web services
gRPC
Microservices
Kibana
ELK

Education

Bachelor's degree in Computer Science / IS / IT

Tools

Maven
Gradle
Jenkins
UML
GitHub Copilot
Git
GitLab
JUnit
Cucumber
Jira
Sonar

Job description

Trinity Consulting Services is seeking an experienced Java/J2EE developer with 8+ years of hands-on experience in big data and scalable IT systems. You will work on end-to-end design and implementation, leveraging Spark/Flink/Storm, HBase, Elasticsearch and Kafka to process large data sets.

The role requires solid knowledge of cloud platforms (AWS, GCP) and proficiency with Maven, Gradle, Jenkins, Git workflows and microservices architecture in a fast-paced environment.

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