Detailed Role Description: The Data Engineer helps to architect, design, implement, and optimize our data ingestion, transformation, and spreading pipelines and processes. They develop data models, processing pipelines, back-end services supporting the data science teams, automate processes, build integrations, and create analytics solutions.
Desired Skills:
- University degree in Mathematics, Computer Science, Engineering, Physics, or similar.
- 3+ years of experience in Data Engineering, warehousing, ETL, automation, big data, and cloud technologies.
- Proficiency in Python; other languages like Scala, Java, C#, C++ are a plus.
- Experience with data pipelines in AWS, Azure, or GCP.
- Hands-on experience with Apache Airflow, Nifi, Hadoop, Spark, Hive, Kafka.
- Containerization with Docker, deployment on Kubernetes.
- NoSQL and graph databases.
- Unix server administration and shell scripting.
- Excellent English communication skills.
- Strong problem-solving and analytical skills.
Why Join Us?
- 🙌 Work closely with senior leaders who have served Fortune 100 CEOs globally. Your opinions are valued.
- 🤝 Co-founders are approachable and involved in daily operations.
- 💪 Build skills and connections with top-tier clients, solving mission-critical problems.
- 📚 Enjoy unique learning opportunities with formal training and informal knowledge-sharing.
- 🏙 Prague 1 office, located in a stunning space, offers a breathtaking rooftop view.
- 🎁 Celebrate birthdays, enjoy lunches, play ping-pong, and have beer after work, while maintaining a 👨👩👧👦 hybrid work model. Join us for free coffee, tea, and social events.
