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обновлено 5 дней назад

Senior Java Big Data Engineer

Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Грейд
senior/lead
Английский
b1
Страна
Ukraine/Georgia/Moldova
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Java Big Data Engineer (Java/Kafka): Modernizing a core data platform by replacing batch processing with a scalable streaming architecture for large volumes of user and device data, with an accent on high-load systems, microservices, and reliable data processing. Focus on designing big data solutions, leading complex technical initiatives, supporting production systems, and mentoring developers.

Location: Georgia, Moldova, or Ukraine; remote and hybrid work options are available.

Company

Technology services provider working with a global marketing technology company whose platform supports cross-channel programmatic media planning and activation.

What you will do

  • Own the full development lifecycle, from solution design and implementation through production deployment and support.
  • Design and implement scalable big data solutions in Java and contribute to platform infrastructure and architecture.
  • Lead complex technical initiatives supporting the core business.
  • Mentor developers and help resolve complex technical challenges.
  • Research core technologies, external APIs, and third-party integrations.
  • Collaborate with Product, Engineering, data providers, and other stakeholders.

Requirements

  • 5+ years of commercial software development experience with Java.
  • Strong knowledge of algorithms, data structures, and SQL databases.
  • Hands-on experience with Kafka, streaming systems, microservices, and production big data technologies.
  • Experience designing, developing, and scaling high-load systems, including work with legacy codebases and production troubleshooting.
  • Strong analytical, communication, collaboration, and problem-solving skills.
  • English at B1 level or higher and willingness to participate in an off-hours PagerDuty rotation.

Nice to have

  • Experience with Apache Spark, Hadoop, or MapReduce.
  • Experience with Kubernetes.
  • Familiarity with GitLab, Grafana, InfluxDB, Apache Airflow, Redis, or Scala.

Culture & Benefits

  • Flexible remote and hybrid work options.
  • Technical and non-technical training, internal conferences, and meetups.
  • Mentorship from experienced employees.
  • Health insurance and sports activities.
  • Referral program, work anniversary program, and additional vacation days.

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