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!

• 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

• 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. 241118-SB2T0