Overview
Qualifications
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Job Title – Python Fullstack Developer
Location – Mexico
- Design and implement robust API routers and request routing using FastAPI with role-based access control and secure APIs.
- Develop data processing and manipulation pipelines using pandas, NumPy, or Polars to retrieve, transform, and manage enterprise-scale datasets.
- Utilize SQLAlchemy for ORM-based database connectivity and efficient query execution across relational databases.
- Handle configuration and utilities with configparser, pathlib, pytz, and datetime for configuration management, filesystem operations, and timezone-aware tasks.
- Conduct automated testing and validation using pytest and unittest, including functional and non-functional service validation.
- Apply optimized data structures and algorithms to efficiently manage in-memory data for performance-critical applications.
- Implement multi-threaded, asynchronous, or concurrent processing to handle enterprise-scale data workloads.
- Demonstrate knowledge of cloud infrastructure (AWS RDS, S3, Lambda) and container orchestration with Amazon EKS and Docker.
- Drive CI/CD pipeline adoption using GitHub Actions, establishing automated validation workflows for streamlined deployment.
- Engineer security guardrails by integrating automated code quality scanning and vulnerability assessment tools (e.g., SonarQube) into the development lifecycle to ensure secure codebases and compliance with coding standards.
- Apply Agile methodologies and adapt to rapid, iterative development cycles; promote defensive coding to maintain platform uptime and prevent cascading failures.
- Communicate effectively with backend and frontend developers, business analysts, and product owners across geographically distributed teams.
Qualifications
- Python: Minimum of 5 years of professional experience with Python development, with in-depth knowledge of Python 3.x.
- Modules & Libraries: Hands-on experience with widely used Python modules to support scalable, maintainable application development, including FastAPI for API design and routing, and role-based access control.
- Data processing: Experience with pandas, NumPy, or Polars for data retrieval, transformation, and manipulation.
- Database: Proficiency with SQLAlchemy ORM and relational databases; knowledge of schemas and query optimization for large data volumes.
- Testing: Experience with pytest and unittest and functional/non-functional service validation.
- Utilities: Familiarity with configparser, pathlib, pytz, and datetime for configuration and timezone-aware tasks.
- Cloud & DevOps: Proficient in AWS services (RDS, S3, Lambda) and containerization/orchestration with Docker and EKS; experience with CI/CD using GitHub Actions.
- Security: Experience implementing code quality scanning and security guardrails (e.g., SonarQube) in the development lifecycle.
- Methodologies: Solid understanding of Agile methodologies and defensive coding practices.
- Communication: Strong verbal and written communication skills for collaboration with cross-functional teams.
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