Sr. Python Engineer - Microservices & Data Platforms
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Key skills for this role
About the Role
Global Software Solutions Group seeks a Senior Python Engineer in Dubai to bridge backend engineering and data architecture. The role involves designing microservices, building ETL pipelines, and optimizing databases for scalable enterprise platforms.
Key Skills for This Role
Responsibilities
- Design, develop, and maintain secure, scalable, and resilient microservices architectures using Python
- Build and serve high performance RESTful APIs using FastAPI and Flask
- Optimize concurrent connections and I/O operations using advanced asynchronous programming patterns (asyncio)
- Design, build, and optimize robust data transformation pipelines and ETL processes
- Architect and maintain database schemas across relational and NoSQL storage solutions
- Implement optimized data access layers using ORMs like SQLAlchemy or Django ORM
- Enforce security best practices across all microservices using OAuth, JWT, and API Gateways
- Develop and maintain automated CI/CD pipelines
- Utilize advanced debugging, logging, profiling, and testing techniques to ensure code reliability
Requirements
- Bachelor's degree in Computer Science, Information Technology, or related quantitative technical field
- Proven track record as a Core Python/Data Engineer delivering production grade microservices and data pipelines in an enterprise environment
- Expert Python development with hands on experience in FastAPI, Flask, asyncio
- Strong database manipulation using SQLAlchemy or Django ORM and high proficiency in complex SQL
- Solid experience securing microservices via JWT, OAuth, and gateway configurations
- Strong Shell scripting and version control mastery (Git workflow)
- Demonstrated background productionizing code and configuring CI/CD automation
Full Job Posting
Role Overview
- We are seeking a highly skilled Python Engineer (Python & Microservices) to join a dynamic, enterprise data engineering chapter in Dubai.
- This role bridges the gap between high performance backend engineering and robust data architecture, focusing on the end to end delivery of scalable business platforms and data driven enterprise systems.
- The ideal candidate will possess expert level proficiency in core Python, modern asynchronous web frameworks, and distributed microservices architectures.
Key Responsibilities
- 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.
- 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 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.
- 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 & Skills
- Expert Python development. Hands on experience with FastAPI, Flask, asyncio, and routing/templating workflows.
- Strong database manipulation using SQLAlchemy or Django ORM. High proficiency in writing complex SQL and database tuning.
- Solid experience securing microservices via JWT, OAuth, and gateway configurations.
- Strong Shell scripting prowess and version control mastery (Git workflow: branching, merging, pull requests).
- Demonstrated background productionizing code and configuring CI/CD automation.
- Familiarity with data warehousing concepts and Big Data technologies (e.g., Hadoop, Spark, Kafka) is preferred.
- Practical exposure to cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes) is preferred.
- Awareness of data compliance, data governance, and enterprise data security principles is preferred.
Qualifications & Experience
- Bachelor's degree in Computer Science, Information Technology, or a related quantitative technical field.
- Proven track record as a Core Python/Data Engineer delivering production grade microservices and data pipelines in an enterprise environment.
- Exceptional problem solving abilities with high attention to detail. Excellent communication, team collaboration, and documentation skills.
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