Senior Python Developer - Hybrid

Location: BGC

Work Setup: Hybrid

Work Schedule: Morning shift

Compensation Flexibility: Open to negotiation for highly qualified candidates.

KEY RESPONSIBILITIES

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  Develop and maintain asynchronous backend services using FastAPI and Pydantic models for request and response validation.

  
  


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  Design, implement, and maintain REST APIs with structured error handling and consistent response formats.

  
  


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  Develop and optimize PostgreSQL database interactions using SQLAlchemy 2.0-style ORM patterns, mapped classes, and relationship loading strategies.

  
  


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  Integrate backend services with PostgreSQL, Snowflake, and Dremio through PyArrow Flight or Arrow Flight.

  
  


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  Manage database schema changes and migrations using Liquibase XML changesets within Maven-based workflows.

  
  


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  Develop and maintain automated tests using pytest and unittest.mock to validate application functionality and dependencies.

  
  


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  Containerize applications using Docker and support deployment workflows involving Kubernetes and Helm.

  
  


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  Troubleshoot backend, database, and integration issues while maintaining application reliability, performance, and code quality.

  
  

REQUIRED QUALIFICATIONS

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  6–8 years of experience in Python backend development or a closely related software engineering role.

  
  


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  Hands-on experience developing asynchronous applications and REST APIs using FastAPI.

  
  


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  Experience with Pydantic for request validation, data modeling, and response serialization.

  
  


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  Strong knowledge of PostgreSQL and SQLAlchemy 2.0-style ORM development, including mapped classes and relationship loading strategies.

  
  


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  Experience designing REST APIs with structured error handling and consistent response schemas.

  
  


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  Experience implementing database migrations using Liquibase XML changesets and Maven-based workflows.

  
  


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  Experience writing automated tests using pytest and mocking dependencies with unittest.mock.

  
  


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  Familiarity with PyArrow and Arrow Flight for data access and integration.

  
  


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  Working knowledge of Docker, Kubernetes, and Helm deployment concepts.

  
  

PREFERRED QUALIFICATIONS

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  Experience integrating applications with Snowflake and Dremio.

  
  


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  Experience using Arrow Flight to access or transfer data between services and analytical platforms.

  
  


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  Familiarity with cloud-native application deployment and container orchestration.

  
  


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  Experience troubleshooting database connectivity, query performance, and backend integration issues.

  
  

REQUIRED SKILLS & TECHNOLOGIES

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  Programming Language: Python.

  
  


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  Backend Frameworks: FastAPI, asynchronous programming, Pydantic.

  
  


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  API Development: REST API design, request/response validation, structured error handling.

  
  


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  Database & ORM: PostgreSQL, SQLAlchemy 2.0-style ORM, mapped classes, relationship loading strategies.

  
  


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  Data Platforms: Dremio, Snowflake.

  
  


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  Data Connectivity: PyArrow, Arrow Flight.

  
  


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  Database Migration: Liquibase, XML changesets, Maven.

  
  


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  Testing: pytest, unittest.mock, automated testing, dependency mocking.

  
  


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  Containerization & Deployment: Docker, Kubernetes, Helm.