Big Data Developer

6 dni temu

Bydgoszcz, Kujawsko-Pomorskie, Polska Huuuge Games Sp. z o.o. Pełny etat 50 000 zł - 70 000 zł rocznie

At Huuuge Games we make top grossing mobile games that bring people together through fun and social mobile gaming.

We're looking for a passionate Big Data Developer to join our team. You'll be responsible for developing and maintaining high-performance, real-time systems where every millisecond counts, processing thousands of events per second. You'll be using Scala within the Confluent Kafka ecosystem to build these systems. Your work will have a tangible impact on the company's results, and you'll see the direct effects of your efforts implemented and scaled.

Big Data Developer

Your responsibilities

  • Develop core modules for our Big Data platform and data applications, which operate on hundreds of servers in AWS using Spark, Kafka, Flink and Kubernetes.
  • Design, develop, and maintain high-performance, real-time data pipelines.
  • Research and perform proof-of-concepts for new technologies, tools, and design patterns.
  • Lead and contribute to technical design discussions, challenging and reviewing architectural definitions.
  • Conduct code reviews to ensure high development standards and best practices are maintained.
  • Contribute to high-standard development processes, including CI/CD and unit testing.
  • Ensure seamless and reliable deployments to production, along with effective production monitoring.
  • Collaborate with cross-functional teams to deliver scalable and robust data solutions.

Our requirements

  • 3+ years of experience working in Java/Scala/Python or other high-level programming languages.
  • Solid understanding of software architecture paradigms (e.g., microservices, event-driven architecture) and design patterns for building scalable, distributed systems.
  • Proven experience in the design and development of large-scale distributed systems.
  • Practical knowledge of Big Data concepts and technologies, with hands-on experience in processing large datasets.
  • Familiarity with cloud environments (AWS, GCP, or Azure) and a commitment to high-quality development practices, including unit testing and CI/CD.
  • AI tools usage in every day work
  • Experienced with building scalable stream-processing using Kafka/Flink
  • Experience in Big Data ecosystem - an advantage

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