Apache Flink -JAVA/Kafka/Scala DeveloperContract & Singapore Location

Fuku

Singapore

On-site

SGD 150,000 - 190,000

Full time

14 days+
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Job summary

Fuku in Singapore is seeking an experienced Apache Flink Developer to design, build, and optimize real-time streaming solutions. You will work on scalable Flink-based pipelines, ensure low latency, and contribute to production readiness including monitoring and incident response.

Ideal candidates have 8+ years in IT with 2–3 years hands-on Flink experience, and a background in building reliable streaming data applications in fast-paced environments.

Qualifications

  • 8+ years of IT experience.
  • 2-3 years hands-on real-time Apache Flink experience.

Responsibilities

  • Design, develop, and maintain real-time data processing and streaming solutions using Apache Flink.
  • Build scalable, reliable, and high-performance stream processing applications for real-time data workloads.
  • Develop and optimize Flink jobs, pipelines, transformations, and stateful processing.
  • Troubleshoot performance, scalability, latency, and reliability issues in real-time streaming applications.
  • Collaborate with engineering and application teams to understand requirements and deliver robust streaming solutions.
  • Implement monitoring, logging, error handling, and operational best practices for Flink applications.
  • Participate in code reviews, testing, deployment, and production support activities.

Skills

Apache Flink
Real-time streaming
Streaming data processing

Job description

Apache Flink Developer

Experience: 8+ years of IT experience, with 2-3 years of hands‑on real-time Apache Flink experience

Key Responsibilities
  • Design, develop, and maintain real-time data processing and streaming solutions using Apache Flink.
  • Build scalable, reliable, and high-performance stream processing applications for real‑time data workloads.
  • Develop and optimize Flink jobs, pipelines, transformations, and stateful processing.
  • Troubleshoot performance, scalability, latency, and reliability issues in real‑time streaming applications.
  • Collaborate with engineering and application teams to understand requirements and deliver robust streaming solutions.
  • Implement monitoring, logging, error handling, and operational best practices for Flink applications.
  • Participate in code reviews, testing, deployment, and production support activities.
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