• Notera att ansökningsdagen för den här annonsen kan ha passerat. Läs annonsen noggrant innan du går vidare med din ansökan.

Role and Responsibilities

Granditude is looking for a compassionate and responsive Data Engineer. With an innovative mindset, we believe that you can contribute to our fast-changing world. We are looking forward to bringing your ideas into production!

You will take ownership and build pipelines and work on containerization and distributed filesystems.

You love to learn, love to collaborate, and have the drive to develop great stuff.

We work with these technologies:

  • NiFi
  • Kafka (Pub/Sub)
  • Spark
  • Kubernetes
  • Docker
  • Python
  • Scala
  • Java
  • Linux
  • Microservices
  • Jenkins
  • SQL/NOSQL
  • Google Cloud Platform
  • Amazon Web Services
  • Azure
  • Scrum/Kanban

Minimum qualifications

The ability to work autonomously in:

  • Building pipelines
  • Streaming
  • Containerization
  • Distributed filesystems

Location/Office

Our most precious value is freedom. As long as no other in the team or any delivery is disturbed – you have the freedom to work wherever you prefer, whenever suits you the most. Of course, you are most welcome to our office located in the city center of Stockholm, Drottninggatan 71C.

We love our pinball machine and a good match of table tennis. But sometimes it’s just very convenient to work from home.

About Granditude

Our culture attracts employees from all over the world, with a wide range of experience. We respect each other and act inclusively in a flat organization.

The team is value-driven and composed of experienced, honest, and passionate people, that value helping others by communicating and transferring knowledge.

To stay innovative and committed, we continuously host Hackathons where we try new stuff and solve problems together.



Detta är en jobbannons med titeln "Data Engineer" hos företaget Granditude AB och publicerades på webbjobb.io den 12 november 2021 klockan 15:32.

Hur du söker jobbet

Ansökan sker via e-post till [email protected]. Vänligen använd rubriken/referensen "Data Engineer".

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