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6 дней назад

Software Engineer - Connectors (Apache Kafka)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Sweden
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Software Engineer - Connectors (Apache Kafka): Building and maintaining connectors that move data between Neo4j and cloud or on-premise data ecosystems with an accent on distributed streaming, data ingestion, and backend integration. Focus on designing multi-threaded systems, developing streaming APIs, and integrating platforms such as Apache Kafka, Apache Spark, Apache Beam, and Kubernetes-based infrastructure.

Location: Hybrid role based in Malmö, Sweden

Company

hirify.global develops a graph intelligence platform and graph database for connecting data, powering analytics, and supporting intelligent applications and AI systems.

What you will do

  • Design and architect connectors for the hirify.global database.
  • Build and maintain connectors for cloud and on-premise technologies.
  • Design streaming and data ingestion APIs that improve hirify.global performance and usability.
  • Collaborate across teams to enhance core database features.
  • Occasionally build frontends for connectors and integrations requiring user interaction.

Requirements

  • 5+ years of experience developing production-level software.
  • Experience designing multithreaded systems and algorithms.
  • Hands-on backend programming experience with Kotlin, Java, or Go.
  • Experience with distributed event streaming, data processing, analytics platforms, or cloud data warehouses.
  • Relevant technologies may include Apache Kafka, Apache Spark, Apache Beam, AWS Redshift, GCP BigQuery, and Azure Synapse.

Nice to have

  • Experience with hirify.global or other SQL and NoSQL databases.
  • Frontend development experience with React and TypeScript.

Culture & Benefits

  • Collaborative, inclusive, and innovation-focused work environment.
  • Opportunity to contribute to a graph intelligence platform used by enterprises globally.
  • Culture focused on relationships, user success, positive intent, and intellectually honest discussions.
  • Empowerment to contribute to projects and shape technical solutions.

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