jobs in APAR TECHNOLOGIES PTE. LTD.

全职 Java Big Data Engineer 工作, 薪水 up to SGD 8,000, APAR TECHNOLOGIES PTE. LTD. Central Region (Singapore) 公司招聘中 - Ricebowl

Java Big Data Engineer

APAR TECHNOLOGIES PTE. LTD.

SGD8,000 - SGD8,000 每月

Central Region (Singapore)

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工作地点

  • 4 SHENTON WAY Central Region (Singapore) Singapore

职位描述

岗位职责

Job Description

Responsibilities

  • Involve in software and product development and ad hoc projects.
  • Create well-architected and structured software solutions.
  • Perform software analysis, software design, code implementation, software integration, module verification, and validation.
  • Deliver software products for integration testing in accordance with software development standard procedures.
  • Prepare and maintain technical documentation and software deliverables.
  • Participate in technical discussions and provide solutions based on industry best practices.
  • Follow CA-CIB methodology, including Agile practices.
  • Support applications in production by analyzing and resolving issues as they arise.
  • Work independently with autonomy and reliability while maintaining close communication with project and support teams.

Qualifications and Profile

  • Minimum 8 years of relevant working experience in Java/J2EE development.
  • Minimum 2 years of experience in Big Data technology development, including Hadoop platforms.
  • Bachelor’s Degree or Technical Degree in Computer Science, Information Systems, or Information Technology preferred.
  • Strong understanding and working experience with Agile/Scrum methodologies.
  • Hands-on experience in end-to-end design and implementation of complex IT systems.

Technical Skills

  • Programming & Frameworks: Java/J2EE, Java 8+, Spring, Spring Boot, RESTful Web Services.
  • Messaging & Big Data: Kafka, Hadoop ecosystem (HDFS, HBase, Storm, Ignite, Flink).
  • Databases: SQL/NoSQL databases including PostgreSQL, MySQL, MongoDB, HBase, Redis.
  • DevOps & Tools: Maven, Git, CI/CD, Cucumber, Kibana, Docker, Kubernetes.
  • Engineering Practices: Design patterns, performance optimization, TDD, JUnit, Mockito, DevOps practices.

EA Number: 11C4879

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