Senior Streaming Analytics Engineer (Apache Kafka)

TL;DR

Senior Streaming Analytics Engineer (Apache Kafka): Developing and optimizing high-performance streaming analytics systems with an accent on real-time data processing and event correlation. Focus on implementing stream processing frameworks and collaborating with engineering teams for innovative solutions.

What you will do

• Contribute actively to streaming analytics and related open source projects.
• Develop and optimize real-time analytics systems for high-throughput data processing.
• Implement stream processing frameworks to handle continuous data flows.
• Build event correlation systems to identify patterns and relationships in real-time data.
• Design and implement windowing functions for time-based data aggregations.
• Collaborate with engineering teams on system integration and deployment.

Requirements

• 10+ years of experience in software development.
• Strong expertise in real-time analytics and streaming data processing systems.
• Deep understanding of stream processing frameworks and event-driven architectures.
• Proficiency in event correlation techniques and pattern recognition.
• Experience with windowing functions and time-based data processing.
• Core contributions to Apache open source projects (Kafka, Flink, Storm, Spark, or similar).