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Principal Streaming Analytics Engineer (Apache Kafka/Flink/Storm)

Тип работы
fulltime
Грейд
senior
Английский
c1
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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