Editorial summary

The company is seeking a skilled Apache Flink Developer with expertise in Java, Kafka, and Scala for a contract role in the banking or fintech sector. The candidate will be responsible for designing, developing, and maintaining real-time data processing and streaming solutions, ensuring high performance and reliability. Key requirements include experience with Apache Flink, scalable stream processing, and troubleshooting performance issues. The position offers a compensation of 12,000.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job id 27991 first appeared in Job-Q.com on 27 Aug 2026]

Contract role
Banking/ Fintech experience is must.
Apache Flink experience is must to have

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.

Requirements

• 8+ years of overall IT experience with strong software/data engineering background.
• Atleast 2 years of hands-on experience with Apache Flink, particularly in real-time/stream processing environments.
• Strong understanding of stream processing concepts, event-driven architecture, and distributed systems.
• Experience with Java or Scala and good programming fundamentals.
• Strong troubleshooting and problem-solving skills.
• Experience working in Agile/DevOps environments.

Good to Have

• Hands-on experience with Apache Kafka and Kafka-based event streaming.
• Experience with Kubernetes and deploying/managing streaming applications in containerized environments.

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