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Sii Ukraine

SII POLAND

SII SWEDEN

Technologies & tools

We are looking for a skilled Data Engineer with 3–5 years of experience in Spark/Scala and the Hadoop ecosystem. The ideal candidate will have a solid foundation in data processing, integration, and continuous delivery pipelines. If you enjoy collaborating with teams, solving complex technical challenges, and ensuring high-quality data solutions, this role is perfect for you!

Your tasks

  • Developing technical solutions in line with organizational standards and best practices
  • Participating in the integration of Datalake use cases into the Information System architecture
  • Identifying potential risks in cost or timelines and proposing pragmatic solutions to mitigate them
  • Developing and implementing data collection, processing workflows, and data mapping using Spark/Scala
  • Improving and maintaining continuous delivery pipelines using tools like Jenkins, Sonar, and Kubernetes
  • Conducting code reviews and ensuring adherence to quality standards

Requirements

  • Proficiency in Spark and Scala, with hands-on experience in the Hadoop stack - Hive, HDFS, Sqoop, Oozie, etc.
  • Basic knowledge of Jenkins, Git, Python/Java, and SQL
  • Strong problem-solving and analytical skills
  • Ability to plan and prioritize tasks effectively in a dynamic environment
  • Solid communication skills and a team-oriented mindset
  • A focus on ensuring product quality, testing strategy adherence, and technical maintenance

Job no. 241219-CSZLL

Technologies & tools

We are looking for a skilled Data Engineer with 3–5 years of experience in Spark/Scala and the Hadoop ecosystem. The ideal candidate will have a solid foundation in data processing, integration, and continuous delivery pipelines. If you enjoy collaborating with teams, solving complex technical challenges, and ensuring high-quality data solutions, this role is perfect for you!

Your tasks

  • Developing technical solutions in line with organizational standards and best practices
  • Participating in the integration of Datalake use cases into the Information System architecture
  • Identifying potential risks in cost or timelines and proposing pragmatic solutions to mitigate them
  • Developing and implementing data collection, processing workflows, and data mapping using Spark/Scala
  • Improving and maintaining continuous delivery pipelines using tools like Jenkins, Sonar, and Kubernetes
  • Conducting code reviews and ensuring adherence to quality standards

Requirements

  • Proficiency in Spark and Scala, with hands-on experience in the Hadoop stack - Hive, HDFS, Sqoop, Oozie, etc.
  • Basic knowledge of Jenkins, Git, Python/Java, and SQL
  • Strong problem-solving and analytical skills
  • Ability to plan and prioritize tasks effectively in a dynamic environment
  • Solid communication skills and a team-oriented mindset
  • A focus on ensuring product quality, testing strategy adherence, and technical maintenance

Job no. 241219-CSZLL

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