Backend Engineer (Java & Hadoop)

Quess Selection & Services; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Quess Selection & Services in Singapore seeks an experienced Backend Engineer with strong Java and Hadoop expertise to support a Hadoop data layer modernization initiative. You will enhance backend services, integrate with existing components, and help migrate platforms while ensuring stability and quality.

The role involves testing, debugging, performance tuning, and production support across a distributed data processing environment, working with cross-functional teams to deliver reliable,

Qualifications

• Strong Java expertise with practical Hadoop ecosystem experience.
• Experience building backend services, APIs, and integration components.
• Proficient with Spring Boot / Spring Framework.
• Familiar with Git, Bitbucket, and Jira for source control and issue tracking.
• Experience with platform migration or modernization projects is a plus.

Responsibilities

• Develop and enhance Java backend services, APIs, and integration components.
• Support application modernization, platform transition, and deployment activities.
• Perform troubleshooting, performance tuning, and production support.
• Collaborate with development, QA, infrastructure, and architecture teams.
• Validate changes through testing and ensure operational readiness.

Skills

Java

Hadoop ecosystem

Distributed data platforms

Spring Boot

Back-end services

Tools

Git

Bitbucket

Jira

Job description

We are seeking an experienced Backend Engineer with strong Java and Hadoop expertise to support a Hadoop data layer modernization initiative. The successful candidate will be responsible for application enhancements, backend integration, platform migration activities, testing support, troubleshooting, and production stabilization within a distributed data processing environment.

Project Goals

• Support application modernization and platform transition activities.
• Ensure application stability, compatibility, and performance throughout the project lifecycle.
• Identify, diagnose, and resolve technical issues arising from platform changes.
• Implement required backend enhancements and remediation work.
• Validate application functionality through testing and quality assurance activities.
• Support successful deployment and operational readiness.

Project Scope

The project primarily involves:

• Impact Assessment
• Analyze existing application components, services, and batch processes to identify areas requiring modification.
• Design and implement code changes to support evolving platform requirements while preserving existing business functionality.
• Develop and enhance Java backend services, APIs, and integration components.
• Testing & Validation
• Perform unit testing, integration testing, system testing, and regression testing to ensure solution quality.
• Investigate and resolve application defects, performance issues, and deployment challenges.
• Deployment & Production Support
• Support deployment activities, release validation, and post-implementation stabilization.
• Documentation
• Maintain technical documentation, implementation artifacts, and operational procedures.
• Work closely with development, QA, infrastructure, and architecture teams to ensure successful delivery.

Project Milestone

• Successful completion of development of project objectives.
• Successful completion of regression, considering both functional and performance testing
• Support and follow through all deployment milestones.
• Complete technical documentation and knowledge transfer.
• Application: Enterprise Java Application with Hadoop Data Storage

Required Skillset:

• Hadoop ecosystem knowledge (HDFS and related technologies)
• Experience working with distributed data platforms and large-scale applications
• Spring Boot / Spring Framework
• Git, Bitbucket, Jira
• Troubleshooting, performance tuning, and production support experience
• Experience with storage platform migration or modernization projects is advantageous.

Best regards,

EA License Number: 23C2060 | EA Registration ID: R26161060