Hadoop Engineer

ARISTON SERVICES PTE. LTD.; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

ARISTON SERVICES PTE. LTD. is seeking a Backend Engineer in Singapore to strengthen Java backend services and Hadoop-based data layers.

You will drive application enhancements, backend integration, and platform modernization while ensuring stability and performance in a distributed data processing environment. Responsibilities include testing, troubleshooting, deployment support, and documentation, with collaboration across development, QA, infra, and architecture teams to deliver reliable

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 proficiency.
• REST API development experience.
• Linux / Shell scripting skills.
• Git, Bitbucket, and Jira usage in teams.
• Troubleshooting, performance tuning, and production support experience.
• Experience with storage platform migration or modernization projects is advantageous.

Responsibilities

• Enhance Java backend and integrate with existing services.
• Support platform migration and modernization efforts.
• Develop and maintain REST APIs and integration components.
• Perform unit, integration, system, and regression testing.
• Troubleshoot defects and production issues in distributed environments.
• Support deployment, release validation, and post-implementation stabilization.
• Document designs, artifacts, and operational procedures.
• Collaborate with development, QA, infra, and architecture teams.

Skills

Java backend development

Hadoop ecosystem

Distributed data platforms

Spring Boot / Spring Framework

REST API development

Linux / Shell scripting

Git / Bitbucket / Jira

Troubleshooting / production support

Migration / modernization projects

Tools

Hadoop

HDFS

Spring Framework

REST APIs

Linux

Shell scripting

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.

Application Enhancement & Remediation

Design and implement code changes to support evolving platform requirements while preserving existing business functionality.

Backend Development & Integration

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.

Troubleshooting & Issue Resolution

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.

Collaboration

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.

Project Details

Application: Enterprise Java Application with Hadoop Data Storage

Project Focus: Backend Development, Platform Modernization & Data Platform Integration

Required Skillset:

Strong Java backend development experience

Hadoop ecosystem knowledge (HDFS and related technologies)

Experience working with distributed data platforms and large-scale applications

Spring Boot / Spring Framework

REST API development

Linux / Shell scripting

Git, Bitbucket, Jira

Troubleshooting, performance tuning, and production support experience

Experience with storage platform migration or modernization projects is advantageous.