Join our engineering team in Poland as a Senior Python Developer. 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.
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Key Responsibilities
Technical Skills Required
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Job Description
We are seeking a proactive Python Developer with at least 3 years of experience to join our engineering team in Poland. 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.
Core 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.
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- Required Qualifications:
- Experience: 3+ years of professional Python development experience.
- Databases: Strong proficiency in both SQL and NoSQL database design and management.
- Strong working experience with Apache Spark and ETL pipelines - MUST
- 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.
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- Experience within the Financial Domain.
- Hands-on experience with Apache Spark and complex ETL pipelines.
- Knowledge of container orchestration using Kubernetes.
- Exposure to or interest in Large Language Models (LLMs) and AI integration.
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