Sr. Python Engineer - Microservices & Data Platforms

Overview

Requirements

• Key Responsibilities1.
• 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.
• 2.
• Data Transformations & Schema Management* 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.
• 3.
• Security, DevOps & Platform Engineering* 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.
• Technical Specifications & SkillsCore 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.