Sr. Python Engineer - Microservices & Data Platforms

Overview

Python Engineer (Python & Microservices)

• Python Microservices & API Development

• Design, develop, and maintain secure, scalable, and resilient microservices architectures using Python
• Build and serve high-performance RESTful APIs utilizing asynchronous web frameworks such as FastAPI and Flask (or Django/Pyramid)
• Optimize concurrent connections and I/O operations using advanced asynchronous programming patterns (asyncio)
• Collaborate closely with front-end developers and cross-functional teams to integrate user-facing elements with complex server-side data logic
• Design, build, and optimize robust data transformation pipelines and ETL (Extract, Transform, Load) processes to clean, aggregate, and enrich large datasets for analytical consumption
• Architect and maintain database schemas across both Relational and NoSQL data storage solutions, ensuring data integrity, quality, and consistency
• Implement optimized data access layers using Object-Relational Mappers (ORMs) like SQLAlchemy or Django ORM to abstract and streamline CRUD operations, data queries, and transaction handling
• Enforce security best practices across all microservices, implementing robust authentication, authorization, and encryption protocols using OAuth, JWT, and API Gateways
• Act as a core developer focused on productionizing frameworks, taking ownership of developing and maintaining automated CI/CD pipelines
• Utilize advanced debugging, logging, profiling, and testing techniques (unit testing, integration testing) to ensure code reliability

Core Technical Stack (Essential)

• Programming & Frameworks: Expert Python development. Hands-on experience with FastAPI, Flask, asyncio, and routing/templating workflows
• ORMs & Databases: Strong database manipulation using SQLAlchemy or Django ORM. High proficiency in writing complex SQL and database tuning
• Security: Solid experience securing microservices via JWT, OAuth, and gateway configurations
• Tooling & Scripting: Strong Shell scripting prowess and version control mastery (Git workflow: branching, merging, pull requests)
• Engineering Practices: Demonstrated background productionizing code and configuring CI/CD automation

Data Ecosystem Awareness & Preferred Skills

• Big Data Awareness: Familiarity with data warehousing concepts and Big Data technologies (e.g., Hadoop, Spark, Kafka)
• Cloud & Containers (Preferred): Practical exposure to cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
• Data Governance (Preferred): Awareness of data compliance, data governance, and enterprise data security principles

Qualifications & Experience

• Education: Bachelor's degree in Computer Science, Information Technology, or a related quantitative technical field
• Experience: Proven track record as a Core Python/Data Engineer delivering production-grade microservices and data pipelines in an enterprise environment
• Soft Skills: Exceptional problem-solving abilities with high attention to detail. Excellent communication, team collaboration, and documentation skills to present technical considerations effectively to stakeholders