Senior Data Engineer
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Summary
Python developer (posted as Senior Data Engineer) who builds and maintains scalable data pipelines and high-performance FastAPI backend APIs on AWS. Day to day: pipeline and API development, improving system reliability, and integrating AWS services and Airflow-style orchestration in a DevOps-driven environment.
We are looking for a proactive Python Developer with at least 3 years of experience to join our engineering team. You will be responsible for the full lifecycle of data-driven applications, from building robust backend APIs to designing and maintaining complex data pipelines. The ideal candidate thrives in a DevOps-cultured environment and is eager to work with modern orchestration and cloud technologies.
Responsibilities
- Data Pipeline Management: Develop, optimize, and maintain scalable data pipelines to ensure high-quality data flow.
- API Development: Build and maintain high-performance backend APIs using FastAPI.
- System Reliability: Proactively identify bottlenecks and improve system stability within existing infrastructures.
- Collaboration: Work closely with cross-functional teams to integrate AWS services and workflow orchestration tools into the production environment.
Requirements
- Experience: 3+ years of professional Python development experience.
- Databases: Strong proficiency in both SQL and NoSQL database design and management.
- DevOps Tools: Hands-on experience with Docker, CI/CD pipelines, and Git version control.
- Frameworks: Proven experience building applications with FastAPI.
- Cloud & Orchestration: Practical experience with AWS services and familiarity with Airflow (or similar workflow orchestration tools).
- Communication: Upper-Intermediate level of English (written and spoken) for effective team collaboration.