Python Data Engineer

Description

We are seeking 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.

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.

Requirements

Required Qualifications:

• 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.

Nice to Have:

• 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.