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Streaming Data Platform Engineer

JID-1269

Miesto práce

Home office

Základné udaje o pozícii resp. projekte

ID

Dátum začiatku

By agreement

Typ zmluvy

Freelance

Plat

By agreement

Short description


The Senior Streaming Data Engineer is responsible for designing and operating robust real-time data platforms that handle large volumes of events with low latency. The role combines hands-on development with architectural ownership in cloud-based streaming environments.


Job description


  • Design, implement, and maintain scalable streaming data solutions for real-time processing.
  • Develop streaming applications using Apache Kafka and Apache Flink with Java.
  • Own the end-to-end lifecycle of streaming pipelines, from design to production operations.
  • Build and integrate distributed data storage using NoSQL technologies.
  • Deploy and run streaming workloads on AWS using managed services and Kubernetes.
  • Continuously optimize performance, reliability, and fault tolerance of streaming systems.
  • Monitor production pipelines, troubleshoot incidents, and improve system resilience.
  • Collaborate with cross-functional engineering teams on data-driven and event-driven architectures.



Benefits

  • Membership in APM.Digital club - become APM Expert
  • Beer box for each APM Expert
  • 100% work from home
  • Multisport card
  • Flexible working hours
  • Tax and social counseling for freelancers
  • Work with the most modern tools on the market in all areas
  • Young team, frequent team building



Requirements


  • Proven experience in building and operating real-time streaming systems in production.
  • Strong hands-on knowledge of Apache Kafka and Apache Flink (Java).
  • Experience with NoSQL databases such as DynamoDB, MongoDB, or Cassandra.
  • Solid understanding of distributed systems, event-driven architectures, and stream processing concepts.
  • Practical experience with AWS cloud services and containerized environments (Kubernetes).
  • Ability to design scalable, fault-tolerant, and high-performance data platforms.
  • Senior-level mindset with ownership, problem-solving skills, and technical leadership.



The position is suitable for candidates with education

Bachelor’s degree in Computer Science



Language skills

English: very good working proficiency (B2+)



Number of years of experience

4+ years of hands-on experience

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