Senior Data Engineer (Magyarország)

Senior Data Engineer (Magyarország)
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Senior Data Engineer


In this role, you'll:

  • Be designing, coding and operating mission-critical data processing pipelines on a combination of Apache Spark and other JVM based platforms (primarily Scala).
  • Understand our entire data stack from Spark through Kafka to Scala/Akka components.
  • Look for generic yet not overly-complex solutions, with an eye on cost-efficiency.
  • Build and operate world-class data services in the field of phone fraud detection, having the chance to create an impact on the lives of tens of millions of consumers daily.
  • Be part of a team where your desire to grow and learn is valued and aptly rewarded; where you are empowered to make yourself and your team more productive every day; where using and contributing to open source are looked upon as an asset; where innovating and executing are core to your teams' beliefs.


You don't have to check all the boxes, but we think these are important requirements for this role:

  • Experience building highly scalable and -available ETL solutions based on the Apache Spark ecosystem.
  • A desire to own design and architecture end to end.
  • You already worked with various big-data technologies (Redshift, Athena, Zeppelin, etc.)
  • Being fluent in typed functional programming (especially in Scala).
  • Having experience with stream processing and scaling techniques (caching, message queues, eventual consistency, etc.)
  • Familiarity with modern deployment environments (AWS, Docker, Kubernetes)
  • Passion for analyzing data for insights.
  • Proficient at collaborating and communicating with both local and remote team members in English and Hungarian.

Amit kínálunk

Central location

Supporting and fast-growing startup environment

Education and training budget

Competitive salary and benefits

Munkavégzés helye


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