Java Backend Engineer - Hadoop & Platform Modernization

re-zoo-me; Singapore; Hybrid; SGD 90,000 - 150,000; Full time

Job summary

re-zoo-me is seeking an experienced Backend Engineer with strong Java and Hadoop expertise to support a Hadoop data layer modernization initiative. The role focuses on backend development, platform migration, testing support, and production stabilization within a distributed data processing environment.

The project emphasizes enhancement, integration, validation, and collaboration across development, QA, infrastructure, and architecture teams to ensure successful delivery and operational

Qualifications

• Strong Java backend development experience.
• Hadoop ecosystem knowledge (HDFS and related technologies).
• Experience with distributed data platforms and large-scale applications.
• Spring Boot / Spring Framework experience.
• REST API development experience.
• Linux / Shell scripting experience.
• Git, Bitbucket, Jira proficiency.
• Troubleshooting, performance tuning, and production support experience.
• Storage platform migration or modernization experience is advantageous.

Responsibilities

• Develop and enhance Java backend services, APIs, and integration components.
• Support application enhancements and backend integration during platform modernization.
• Contribute to testing and quality assurance activities.
• Troubleshoot defects and performance issues in production.
• Assist deployment, release validation, and post-implementation stabilization.
• Maintain technical documentation and implementation artifacts.

Skills

Java backend development

Hadoop ecosystem

Spring Boot

REST API design

Linux scripting

Git & Bitbucket

Jira

Troubleshooting

Performance tuning

Production support

Tools

Hadoop (HDFS)

Git

Bitbucket

Jira

Linux

Job description

re-zoo-me is seeking an experienced Backend Engineer with strong Java and Hadoop expertise to support a Hadoop data layer modernization initiative. The role focuses on backend development, platform migration, testing support, and production stabilization within a distributed data processing environment.

The project emphasizes enhancement, integration, validation, and collaboration across development, QA, infrastructure, and architecture teams to ensure successful delivery and operational