Senior Python Developer

Role & responsibilities

• Design and implement data aggregation logic for device, customer, or time-window-based metrics using Python.
• Build clean, maintainable backend services or microservices that perform aggregations and expose results through APIs or data sinks.
• Work with internal teams to translate business or analytics needs into efficient aggregation pipelines.
• Optimize data handling caching, indexing, and computation efficiency for large-scale telemetry data.
• Collaborate with DevOps and data teams to integrate with databases, message queues, or streaming systems.
• Write high-quality, tested, and observable code — ensuring performance and reliability in production.
• Contribute to design discussions, reviews, and documentation across backend and data infrastructure components

Preferred candidate profile

• 5+ years of professional experience as a Python Developer / Backend Engineer.
• Strong proficiency with Python (async programming, data structures, I/O, concurrency).
• Experience with data aggregation, metrics computation, or analytics workflows (batch or incremental).
• Sound understanding of REST APIs, microservice architecture, and database design (SQL/NoSQL).
• Familiarity with cloud-native development and containerized deployment (Docker, Kubernetes).
• Hands-on with data access and transformation using libraries like pandas, SQL Alchemy, or Fast API/Flask for backend services.
• Excellent debugging, profiling, and optimization skills.