Data Engineer - Python & Microservices
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Key skills for this role
About the Role
We are seeking an experienced Data Engineer with strong expertise in Python, Microservices Architecture, Data Transformation, and Backend Engineering to join our Data Engineerin.
Key Skills for This Role
Responsibilities
- Design, develop, and maintain scalable backend applications and web frameworks using Python
- Build robust RESTful APIs and microservices to serve enterprise datasets and business applications
- Develop and optimize data transformation pipelines to process, clean, enrich, and prepare data for analytics
- Design and implement scalable data access layers integrating multiple relational and NoSQL databases
- Implement ETL processes for extracting, transforming, and loading large scale datasets
- Optimize database performance, query execution, and data retrieval mechanisms
- Troubleshoot production issues and implement scalable solutions for platform stability
- Participate in code reviews, testing activities, and technical design discussions
Requirements
- Strong hands on experience in Core Python development
- Experience with Python web frameworks (FastAPI, Flask, Django, Pyramid)
- Experience designing and developing microservices based applications
- Strong experience with relational and NoSQL databases (SQL, PostgreSQL, MySQL, MongoDB, Redis)
- Experience building and maintaining ETL pipelines
- Strong understanding of asynchronous programming (asyncio)
- Experience with API security (OAuth 2.0, JWT)
- Experience with Git version control
- Experience with CI/CD pipelines
- Experience with cloud platforms (AWS, Azure, GCP) is a plus
Full Job Posting
Job Overview
- We are seeking an experienced Data Engineer with strong expertise in Python, Microservices Architecture, Data Transformation, and Backend Engineering.
- The ideal candidate will be responsible for designing and developing scalable backend services, data processing frameworks, RESTful APIs, and data transformation pipelines.
Key Responsibilities
- Design, develop, and maintain scalable backend applications and web frameworks using Python.
- Build robust RESTful APIs and microservices to serve enterprise datasets and business applications.
- Develop and optimize data transformation pipelines to process, clean, enrich, and prepare data for analytics and business consumption.
- Design and implement scalable data access layers integrating multiple relational and NoSQL databases.
- Collaborate with frontend developers to integrate user facing components with backend services.
- Ensure applications are secure, highly available, performant, and maintainable.
- Design and maintain database schemas and data models aligned with business requirements.
- Implement ETL processes for extracting, transforming, and loading large scale datasets.
- Optimize database performance, query execution, and data retrieval mechanisms.
- Troubleshoot production issues and implement scalable solutions for long term platform stability.
- Participate in code reviews, testing activities, technical design discussions, and engineering best practices.
- Work closely with business stakeholders, architects, and engineering teams within Agile delivery environments.
Required Technical Skills
- Strong hands on experience in Core Python development.
- Expertise in building backend services and APIs using Python.
- Strong understanding of object oriented programming principles and software design patterns.
- Experience writing clean, reusable, maintainable, and production quality code.
- Strong experience with one or more Python frameworks including FastAPI, Flask, Django, Pyramid.
- Experience with RESTful API design and development, API versioning and documentation, routing and middleware implementation, authentication and authorization, framework testing and debugging.
- Strong experience designing and developing microservices based applications.
- Deep understanding of distributed systems architecture.
- Experience building scalable and resilient service oriented platforms.
- Knowledge of service communication patterns and API orchestration.
- Experience handling concurrent requests and high volume transaction processing.
- Strong understanding of asyncio and asynchronous programming concepts.
Nice to Have
- Experience with AWS, Azure, or GCP.
- Experience with Docker and Kubernetes.
- Exposure to cloud native architectures.
- Knowledge of data governance, compliance, privacy, and security standards.
- Experience supporting large scale enterprise data platforms.
Required Competencies
- Strong analytical and problem solving skills.
- Excellent communication and stakeholder management capabilities.
- Strong collaboration and teamwork skills.
- Ability to work effectively in Agile/Scrum environments.
- Strong ownership mindset with attention to detail.
- Ability to document solutions and communicate technical concepts clearly.
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