Data Pipeline Architect
vor 2 Wochen
We are seeking a highly skilled Data Engineer to join our team at Red Bull. As a Data Engineer, you will play a critical role in supporting product development by designing and hardening critical data pipelines, putting data science models in production environments, and optimizing data access patterns.
The ideal candidate will have experience with complex SQL queries, including optimization and performance analysis. You will also design and implement complex SQL queries, build data processing pipelines in Python using Apache Airflow, and work on test-driven development and writing well-tested software applications.
In addition to technical skills, the successful candidate will have experience with building critical software components with high uptime guarantees, 4 years of experience working as a software or data engineer, and English fluency.
We offer a competitive salary of €2,000 per month, making it one of the best paid opportunities in the industry. Our company culture values innovation, teamwork, and continuous learning, making it an exciting place to grow your career.
Key Responsibilities:
- Optimize complex SQL queries and analyze performance bottlenecks
- Design and implement complex SQL queries
- Build data processing pipelines in Python (Apache Airflow)
- Experience with test driven development and writing well tested software applications
- Experience with building critical software components with high uptime guarantees
Requirements:
- 4 years experience working as a software or data engineer
- Ability to design and build maintainable and reliable Python code
- English fluency
- Experience with cloud engineering and site reliability engineering
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