Lead Data Engineer for Cloud-Scale Services

1 day ago


Remote, Czech Republic Matrix Global Services Full time
Job Description

We are seeking a highly skilled Lead Data Engineer to join our team at Matrix Global Services.

About the Role

The successful candidate will lead development projects of critical, high-availability cloud-scale services and APIs. They will support clients with large amounts of data and scalability in mind.

Key Responsibilities:

  • Leverage expertise in big data pipeline processing using Apache Spark and Apache Flink
  • Design and build high-availability, cloud-scale data pipelines (ETLs)
  • Develop and deploy real-time/batch data processing pipelines using the latest technologies
  • Collaborate with cross-functional teams to drive project success
Requirements

To be successful in this role, you will need:

  • Extensive experience in distributed server-side backend development
  • Strong understanding of Linux, Docker, Kubernetes, and cloud providers (AWS, GCP)
  • Experience with event streaming platforms like Kafka or its alternatives
  • Ability to design scalable, distributable, and robust platforms and analytic tools
Benefits

In addition to a competitive salary, we offer:

  • Additional 20 days of paid leave
  • Remote work and flexible working hours
  • Professional and career benefits
  • Top-quality work environment
  • Online courses and sports activities


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