Stream Application Development : Design and develop high-throughput, low-latency, and highly available stream processing applications using Java / Python and the Apache Flink DataStream API .
State Management & Fault Tolerance : Implement reliable state management, leveraging Flink's checkpointing and save point mechanisms to ensure exactly once processing semantics and disaster recovery.
Messaging Integration : Integrate Flink applications with real-time messaging platforms, primarily Apache Kafka , for both consuming and producing data streams.
Performance Tuning : Monitor, troubleshoot, and optimize Flink jobs for performance, memory, and latency, including fine-tuning watermarks and windowing strategies.
Required Qualifications & Skills
5+ years of software engineering experience, with 3+ years focusing on stream processing.
Python , with solid experience developing enterprise-level applications.
Deep, hands-on production experience with Apache Flink (DataStream API, Windowing, State Processors).
Solid knowledge of Apache Kafka or other streaming / messaging platforms.
Strong understanding of distributed system concepts, including consistency models, event time vs. processing time , and stateful stream processing.
Experience with AWS and its relevant big data services.
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