Senior Data Engineer - Python & Microservices
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Key skills for this role
About the Role
We are looking for an experienced Senior Python Data Engineer with strong expertise in Python development, microservices architecture, data engineering, and backend API developm.
Key Skills for This Role
Responsibilities
- Design, develop, and maintain scalable Python based web frameworks and backend services
- Develop robust RESTful APIs using Python frameworks such as FastAPI, Flask, or Django
- Build and maintain microservices based applications supporting enterprise data platforms
- Design and implement data transformation pipelines for data ingestion, processing, and enrichment
- Develop backend systems to efficiently serve datasets through APIs and other interfaces
- Collaborate with cross functional teams to deliver scalable and secure data driven applications
- Design and maintain relational and NoSQL database schemas
- Develop efficient ETL processes for enterprise data requirements
- Optimize application and database performance to ensure scalability and reliability
- Implement asynchronous programming techniques using asyncio
- Ensure data integrity, consistency, and quality across data transformation pipelines
- Participate in code reviews and contribute to software engineering best practices
Requirements
- Strong proficiency in Python development
- Experience with microservices architecture
- Hands on experience building REST APIs using Python frameworks (FastAPI, Flask, or Django)
- Experience with ETL processes and data transformation
- Knowledge of relational and NoSQL databases
- Experience with asynchronous programming (asyncio)
- Exposure to big data technologies, DevOps, and cloud native architectures
Full Job Posting
Job Overview
- We are looking for an experienced Senior Python Data Engineer with strong expertise in Python development, microservices architecture, data engineering, and backend API development.
- The ideal candidate will have hands on experience building scalable Python based applications and data services, designing robust REST APIs, performing complex data transformations, and developing high performance backend frameworks.
- Exposure to big data technologies, DevOps practices, and cloud native architectures will be highly advantageous.
Key Responsibilities
- Design, develop, and maintain scalable Python based web frameworks and backend services.
- Develop robust RESTful APIs using Python frameworks such as FastAPI, Flask, or Django.
- Build and maintain microservices based applications supporting enterprise data platforms.
- Design and implement data transformation pipelines for data ingestion, processing, and enrichment.
- Develop backend systems to efficiently serve datasets through APIs and other interfaces.
- Collaborate with cross functional teams to deliver scalable and secure data driven applications.
- Design and maintain relational and NoSQL database schemas.
- Develop efficient ETL (Extract, Transform, Load) processes for enterprise data requirements.
- Optimize application and database performance to ensure scalability and reliability.
- Implement asynchronous programming techniques using asyncio and optimize concurrent connections and I/O operations.
- Ensure data integrity, consistency, and quality across data transformation pipelines.
- Participate in code reviews and contribute to software engineering best practices.
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