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Senior Streaming Analytics Engineer (Kafka)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Streaming Analytics Engineer (Kafka): Developing and optimizing high-performance real-time analytics systems for continuous, high-throughput data processing with an accent on stream processing, event correlation, and windowing functions. Focus on implementing Apache Kafka, Flink, Storm, or similar frameworks, identifying patterns in streaming data, and contributing to open source projects.
Company
Technology services company delivering solutions for major enterprises and innovative startups through a global team of technology professionals.
What you will do
- Develop and optimize high-performance real-time analytics systems for high-throughput data processing.
- Implement stream processing frameworks for continuous data flows.
- Build event correlation systems to identify real-time patterns and relationships.
- Design windowing functions for time-based data aggregation.
- Contribute to Apache open source streaming analytics projects.
- Collaborate with engineering teams on system integration and deployment.
Requirements
- 10+ years of software development experience.
- Strong expertise in real-time analytics and streaming data processing systems.
- Deep understanding of stream processing frameworks and event-driven architectures.
- Experience with event correlation, pattern recognition, windowing functions, and time-based data processing.
- Core contributions to Apache open source projects such as Kafka, Flink, Storm, Spark, or similar.
Culture & Benefits
- Compensation in USD or the employee's local currency.
- Paid parental leave, vacation, and national holidays.
- Multicultural environment with collaboration across a global talent network.
- Mentorship, promotions, skill development, and career growth opportunities.
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