Requirements

Expected technologies

Python

FastAPI

Pandas

Pydantic

Polars

MongoDB

Optional technologies

Azure DevOps

.NET

SPARK

DATABRICKS

Docker

Kubernetes

Our requirements

• Minimum 7 years of commercial experience in Python development
• Hands-on expertise with FastAPI and Pydantic
• Strong experience with Pandas or Polars for complex data transformation and analysis
• Proven capability in asynchronous/parallel programming using asyncio
• Experience with MongoDB, Parquet, Delta Tables, and handling diverse data formats
• Excellent understanding of data processing and transformation pipelines
• Strong analytical and problem-solving skills with a structured and detail-oriented mindset
• Proficiency in self-management, task prioritization, and working under tight deadlines

Optional

• Professional experience with Azure Cloud services (Service Bus, Data Lake, Blob Storage, Redis)
• Knowledge of .NET technologies, Spark/PySpark, and Databricks
• Familiarity with containerization (Docker) and orchestration (Kubernetes)
• Solid understanding of microservices architecture and distributed systems

Your responsibilities

• Lead the design, development, and maintenance of full-stack applications with a strong focus on Python and data processing
• Define, promote, and enforce coding standards and best practices across the team
• Perform in-depth code reviews, ensuring code quality, performance, and scalability
• Guide and mentor junior developers, fostering a collaborative engineering culture
• Drive implementation of microservices architecture and cloud-native solutions
• Ensure effective and clear technical communication with stakeholders and clients
• Build and optimize data pipelines and workflows handling large volumes of structured and semi-structured data
• Manage technical operations and workflows, ensuring timely and high-quality delivery