We are looking for a motivated Lead Full-Stack Software Engineer (Python + Pandas) who is willing to dive into the new project with a modern stack.

Lead Full-Stack Software Engineer

Your responsibilities

• Define and enforce best practices and coding standards across the project
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Working both independently and in close collaboration with others in the team
• Communicating clear instructions to team members and helping manage the flow of day-to-day operations
• Communicating with the client regularly
• Design, develop, and maintain robust and scalable Python applications
• Write clean, maintainable, and efficient code following best practices and coding standards
• Optimize code for performance and scalability, ensuring efficient data handling
• Work closely with cross-functional teams to deliver high-quality software solutions
• Identify and resolve technical issues, ensuring the reliability and performance of applications
• Create and maintain comprehensive documentation for code, processes, and workflows
• Provide guidance and mentorship to junior developers, fostering a collaborative and productive team environment

Our requirements

• 7+ years of experience in Python development
• Proficient in web development with substantial hands-on experience using the FastAPI framework
• Experience with Pydantic for data validation and schema definition in Python applications
• Deep expertise in data manipulation and analysis using Pandas/Polars and similar
• Skilled in asynchronous and parallel programming, with practical knowledge of asyncio
• Proficiency working with both structured and semi-structured data, including MongoDB, Parquet, and Delta Tables
• Proven expertise in data processing, analysis, and transformation workflows
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
• Organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with .NET/Databricks/Spark/PySpark is a plus
• Expertise in containerization and orchestration tools such as Docker and Kubernetes
• Solid understanding of microservices architecture and its implementation in scalable systems