Data Engineering Python Developer Role

Join a dynamic data engineering team as a Python Developer, focusing on high-performance data processing pipelines. Leverage your expertise in modern Python frameworks to manage large datasets efficiently and deliver robust data solutions. As a key member of the team, you will design, develop, and maintain scalable data pipelines while working with containerized systems and distributed computing platforms.

This role emphasizes a deep understanding of data manipulation and architecture, enabling you to create asynchronous data processing solutions. You'll be instrumental in collaborating with teams to ensure top-notch code quality and reliable applications. Key Responsibilities:

• Develop data workflows using pandas and polars for efficiency
• Implement containerized apps with Docker and Kubernetes
• Build data pipelines integrating with ClickHouse databases
• Create event-driven architectures using NATS messaging
• Write unit tests using pytest for code reliability Requirements:
• Advanced skills in Python, pandas, and polars
• Experience with Docker and Kubernetes
• Knowledge of ClickHouse columnar databases
• Familiarity with NATS for message systems
• Strong Git control and collaboration skills Bring your expertise in Python and data processing to innovate and enhance our data solutions.