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Streaming Analytics Engineer (Apache Kafka)

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

Текст:
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TL;DR
Streaming Analytics Engineer (Apache Kafka): Developing and optimizing high-performance real-time analytics systems using Kafka, Flink, Storm, and related stream processing technologies with an accent on event correlation, continuous data flows, and time-based aggregations. Focus on building high-throughput streaming systems, implementing pattern recognition and windowing functions, contributing to Apache open source projects, and integrating systems with engineering teams.

Company

Technology services company delivering software solutions for enterprises and startups through a global engineering organization.

What you will do

  • Contribute to streaming analytics and related Apache open source projects.
  • 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.
  • 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 Kafka, Flink, Storm, Spark, or similar open source projects.
  • Advanced English proficiency required.

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 career growth opportunities.

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