Flink Stream Application Developer

• Development and Implementation:

• Develop and implement real-time streaming applications using Apache Flink.
• Write efficient, maintainable, and well-documented code.
• Implement data ingestion, transformation, and processing logic within Flink pipelines.
• Participate in code reviews and contribute to improving code quality.
• Contribute to the development of automated tests for streaming applications.
• Performance and Optimization:

• Monitor and optimize the performance of Flink applications.
• Troubleshoot and resolve performance and stability issues.
• Assist in performance testing and benchmarking.
• Contribute to the tuning of Flink configurations.
• Collaboration and Communication:

• Work closely with other developers, data scientists, and product managers.
• Participate in Agile/Scrum development processes.
• Communicate effectively with team members and stakeholders.
• Work with message queues like Kafka.
• Learning and Growth:

• Stay up-to-date with the latest developments in Apache Flink and stream processing.
• Contribute to knowledge sharing within the team.

• Required:

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 5+ years of experience in software development.
• 1+ years of experience in stream processing/ streaming app development
• Experience with GPU stream processing is a plus
• Hands-on experience with Apache Flink or a strong desire to learn.
• Proficiency in Java or Scala (or other relevant languages).
• Understanding of stream processing concepts.
• Experience with message queues (Kafka, RabbitMQ, etc.).
• Strong problem-solving and analytical skills.
• Good communication and teamwork skills.
• Preferred:

• Experience with distributed systems.
• Experience with cloud platforms (e.g., AWS, GCP, Azure).
• Experience with containerization and orchestration technologies (Docker, Kubernetes).
• Experience with building CI/CD pipelines.

Han Staffing