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Staff Streaming Analytics Engineer

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
lead
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

Staff Streaming Analytics Engineer: Designing and optimizing high-performance real-time streaming analytics systems using Apache Kafka, Flink, and Storm with an accent on event correlation and windowing functions. Focus on architecting advanced stream processing frameworks, contributing to open source projects, and solving complex continuous data flow challenges.

Location: Remote (Global)

Company

hirify.global is a leading technology services company with over 15 years of experience delivering cutting-edge solutions to major clients including Google, employing the top 1% of global tech talent.

What you will do

  • Contribute as a core member to streaming analytics and related open source projects.
  • Design and optimize real-time analytics systems for high-throughput data processing.
  • Architect advanced stream processing frameworks for complex continuous data flows.
  • Lead event correlation initiatives to identify sophisticated patterns in real-time streams.
  • Drive development of windowing functions for time-based data aggregations.
  • Collaborate with engineering teams on technical solutions and system integration.

Requirements

  • 10+ years of software development experience.
  • Advanced English proficiency (C1+).
  • Strong expertise in real-time analytics and streaming data processing systems.
  • Deep understanding of stream processing frameworks and event-driven architectures.
  • Proven experience with event correlation and windowing functions.
  • Core contributions to Apache open source projects like Kafka, Flink, or Storm.

Culture & Benefits

  • Excellent compensation in USD or local currency.
  • Paid parental leave, vacation, and national holidays.
  • Innovative and multicultural work environment.
  • Collaboration with top global tech talent.
  • Supportive environment with mentorship, promotions, and skill development.

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