Junior Data Engineer (Hadoop, Apache Spark, Kafka)

Join our team as a Junior Data Engineer and put your skills into practice on impactful projects. You will build and optimize large-scale data pipelines using powerful technologies such as Hadoop, Apache Spark, and Kafka.

This is an excellent opportunity to develop your expertise in a collaborative and forward-thinking environment.

Responsibilities

• Develop and maintain robust data processing pipelines using Hadoop, Apache Spark and Kafka
• Collaborate with international teams to design and deliver scalable IT solutions
• Integrate new data processing solutions into established delivery pipelines
• Participate in code reviews and contribute to our high development standards
• Continuously improve your skills through dedicated mentorship and technical workshops

Requirements

• At least 1 year of experience in software development with a focus on data engineering
• Proficiency in Java or Python for data processing tasks
• Hands-on experience with core technologies, including Hadoop, Apache Spark and Kafka
• Understanding of data processing principles and software engineering fundamentals
• Familiarity with the concepts and tools of CI/CD pipelines
• English language skills at the B1 level or higher to collaborate effectively with our international teams