обновлено 2 часа назад
Data Engineer (Scala)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Scala) (Spark/Kafka): Developing a streaming Data Management Platform that stores user and device behavioral-category connections and provides data for analytics and digital ad targeting with an accent on large-scale distributed processing, data pipelines, and platform architecture. Focus on designing high-performance streaming systems, optimizing big data solutions, integrating external APIs, and supporting production reliability through pager duty.
Location: Georgia, Moldova, Poland, or Ukraine
Company
is delivering a project for a global technology company that helps brands and agencies plan and activate cross-channel programmatic media campaigns using real-time research, audience data, and analytics.
What you will do
- Own end-to-end development from system design through production.
- Lead and mentor developers working on complex core business systems.
- Design and develop next-generation data solutions and streaming architecture.
- Build high-scale big data solutions and contribute to platform infrastructure and architecture.
- Research and evaluate technologies, integrations, and external APIs while collaborating with Product, Engineering, and data providers.
- Participate in an off-hours pager duty rotation.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or equivalent experience.
- 4+ years of software development experience, including 2+ years with Apache Spark and 2+ years with Scala, Python, or Java.
- Experience with high-performance, large-scale, or distributed data systems.
- Experience with SQL and NoSQL databases, Kubernetes, and Git.
- Experience building and optimizing data pipelines, ETL processes, and streaming systems is beneficial.
- English level: B1+ or higher.
Nice to have
- Experience with Hadoop, Spark, or Kafka for data pipelines and streaming systems.
- Familiarity with GitLab, Grafana, InfluxDB, and Kibana.
Culture & Benefits
- Technical and non-technical training for professional and personal growth.
- Internal conferences and meetups with industry experts.
- Mentorship and support from experienced employees.
- Health insurance and sports activities.
- Flexible work options, including remote and hybrid opportunities.
- Additional vacation days, referral rewards, and work anniversary benefits.
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