Senior Python Developer with Azure
- Source: Naukri
- Tata Consultancy Services
- On-site
- Gurugram
- Full-Time
- Senior
Job Description
Senior Python Full Stack Developer with Azure.
Experience: 8-10 years
Role Summary
As a Senior Python Developer, you will design and develop robust, scalable applications and
APIs. The role involves working on API integrations, data processing, and cloud-based
deployments, leveraging modern frameworks and DevOps practices.
Key Responsibilities
- Build and maintain RESTful APIs and microservices for data integration and
application functionality.
- Develop web applications using Django and FastAPI frameworks.
- Implement CI/CD pipelines using Azure DevOps for seamless deployment.
- Collaborate on infrastructure automation and containerization strategies.
- Handle structured and unstructured data for ingestion and transformation.
- Optimize SQL queries and manage relational/non-relational databases.
- Use Git for source control and branching strategies.
- Write unit tests and ensure code quality through continuous integration.
- Ensure API robustness, scalability, and security compliance.
Must have Skills
- Strong proficiency in Core Python development.
- Hands-on experience with Django, FastAPI, and API development.
- Knowledge of Azure DevOps for CI/CD and deployment automation.
- Expertise in SQL and database integration.
- Familiarity with Git for version control.
- Experience in API integration and data processing workflows.
- Exposure to cloud platforms (Azure preferred).
Good to have Skills
- Hands on experience in Pyspark, Azure Databricks is necessary
- Good Knowledge of Azure PaaS and IaaS services.
- Good Knowledge of Azure networking.
- Terraform and Kubernetes knowledge.
Preferred Qualifications
- Exposure to cloud platforms (Azure preferred).
- Understanding of containerization (Docker/Kubernetes) is a plus.
- External certifications in Python or Azure technologies.
Skills
- Python
- microsoft-azure
- azure-stack
- Django
- FastAPI
- azure-devops
- pyspark
- azure-databricks
- databricks
- Terraform
- Kubernetes
- Docker
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