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RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)

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034 - Backend Engineer (Java/Hadoop)

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Description

Location: Changi Business Park

Contract: 12 months (extandable)

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.

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.

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.

Application:

Enterprise Java Application with Hadoop Data Storage

Skills

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