обновлено 1 час назад
Principal Streaming Analytics Engineer (Apache Kafka/Flink/Storm)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal Streaming Analytics Engineer (Apache Kafka/Flink/Storm): Designing and optimizing high-performance real-time analytics systems and advanced stream-processing frameworks with an accent on event correlation, windowing functions, and open-source contributions. Focus on architecting continuous data flows, processing complex time-based aggregations at scale, and mentoring engineering teams.
Company
delivers technology projects for major enterprises and innovative startups through a global team of more than 4,000 technology professionals.
What you will do
- Contribute to streaming analytics and related Apache open-source projects.
- Design and optimize high-throughput real-time analytics systems.
- Architect stream-processing frameworks for complex continuous data flows.
- Lead event-correlation initiatives and develop pattern-recognition capabilities.
- Build windowing functions for complex time-based data aggregations.
- Mentor engineering teams and provide technical leadership across projects.
Requirements
- 10+ years of software development experience.
- Strong expertise in real-time analytics and streaming data processing.
- Deep understanding of stream-processing frameworks and event-driven architectures.
- Experience with complex event correlation, pattern recognition, and large-scale time-based processing.
- Core contributions to Apache open-source projects such as Kafka, Flink, Storm, or Spark.
- Advanced English proficiency.
Culture & Benefits
- Compensation available in USD or the preferred local currency.
- Paid parental leave, vacation, and national holidays.
- Multicultural environment with collaboration across a global talent network.
- Mentorship, promotions, skill development, and diverse growth opportunities.
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