Python Developer – Data Engineering

Python Developer – Data Engineering | Pandas, Polars, Docker, Kubernetes, Dask

We are seeking a skilled Python Developer to join our data engineering team. You will design, develop, and maintain high-performance data processing pipelines using modern Python frameworks and tools. In this role, youll work with large-scale datasets, containerized systems, and distributed computing platforms to deliver robust data solutions.

Key Responsibilities

Required Skills and Experience

Python & Data Processing: Advanced proficiency in pandas and polars for data manipulation, transformation, and analysis. Experience optimizing code performance for large datasets.

Containerization & Orchestration: Hands-on experience with Docker for building container images and composing multi-container applications. Knowledge of Kubernetes for container orchestration and deployment management.

Data Infrastructure: Working knowledge of ClickHouse or similar columnar databases for OLAP workloads and analytical queries.

Messaging & Streaming: Familiarity with NATS.io for building message-driven systems and asynchronous workflows.

Testing & Quality Assurance: Proficiency with pytest for writing unit tests, integration tests, and maintaining code coverage standards.

Distributed Computing: Experience with Dask for parallel processing and handling out-of-core computations.

Version Control: Strong command of Git workflows, branching strategies, and collaborative development practices.

Preferred Qualifications