Senior Data Engineer - Python & Microservices
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Key skills for this role
About the Role
Global Software Solutions Group is seeking an experienced Senior Python Data Engineer with strong expertise in Python development, microservices architecture, data engineering, and backend API development.
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 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
Requirements
- Strong hands on expertise in Core Python
- Experience building enterprise grade Python applications
- Hands on experience with Python web frameworks such as FastAPI, Flask, or Django
- Strong experience with microservices based application design
- Experience implementing OAuth, JWT Authentication, API Security Best Practices
- Strong hands on experience with data transformation pipelines, ETL processes
- Experience working with relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis)
- Hands on experience with ORM frameworks like SQLAlchemy or Django ORM
- Experience with CI/CD pipeline development and maintenance, Git based workflows
- Strong proficiency in SQL, Shell Scripting, and Python scripting
Full Job Posting
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 to support enterprise data driven applications.
- This role requires strong proficiency in Python web frameworks, asynchronous programming, microservices architecture, ETL processes, database management, and modern software engineering best practices.
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
Required Technical Skills
- Strong hands on expertise in Core Python
- Experience building enterprise grade Python applications
- Hands on experience with one or more of: FastAPI, Flask, Django, Pyramid
- Strong experience with microservices based application design, service oriented architectures, API integrations, distributed systems, enterprise backend services
- Experience implementing OAuth, JWT Authentication, API Security Best Practices, Authorization mechanisms, Encryption standards, Secure API development practices
- Strong hands on experience with data transformation pipelines, ETL processes, data cleansing and enrichment, data aggregation techniques, data quality and integrity management
- Experience working with relational databases (PostgreSQL, MySQL, SQL Server) and NoSQL databases (MongoDB, Redis)
- Hands on experience with ORM frameworks: SQLAlchemy, Django ORM
- Experience with CI/CD pipeline development and maintenance, Git based workflows, version control best practices, branching strategies, code reviews, production deployments
- Strong proficiency in SQL, Shell Scripting, and Python scripting
Preferred Skills
- Exposure to big data technologies: Apache Spark, Hadoop, Apache Kafka
- Understanding of data warehousing concepts and large scale data processing architectures
- Exposure to cloud platforms: AWS, Microsoft Azure, Google Cloud Platform (GCP)
- Knowledge of containerization: Docker, Kubernetes
- Knowledge of data governance principles and data security
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