Why This Role Stands Out
This role offers a fantastic opportunity to develop cutting-edge Python applications and modern user interfaces within a reputable company, allowing you to significantly enhance your full-stack development skills. You'll thrive here if you're a mid-senior developer passionate about backend Python development, UI frameworks like React or Angular, and working with data platforms like Databricks. Apply now to contribute to impactful projects and grow your career!
Quick Overview
Job Description
Position: Python Full Stack Developer with UI
Locations: Columbus OH, (Onsite)
Job Summary:
Looking for an experienced Python Full Stack Developer with strong experience in backend development, modern UI technologies, and Databricks/data platforms. The candidate will be responsible for developing scalable Python applications, building responsive user interfaces, and integrating applications with Databricks and cloud-based data services.
- Design, develop, and maintain Python-based applications and REST APIs.
- Build responsive and user-friendly web interfaces using React.js, Angular, or similar UI frameworks.
- Develop backend services using Python, FastAPI, Flask, or Django.
- Integrate UI applications with Python REST APIs and backend services.
- Work with Databricks, PySpark, SQL, and Delta Lake for data processing and analytics.
- Develop data ingestion and transformation pipelines where required.
- Integrate applications with databases, cloud services, and enterprise APIs.
- Write unit/integration tests and troubleshoot application issues.
- Participate in code reviews and follow software development best practices.
- Work with Git, CI/CD, Docker, and cloud platforms.
- Collaborate with data engineers, architects, product owners, and business teams.
- 5+ years of software development experience.
- Strong hands-on experience with Python.
- Experience developing REST APIs.
- Strong experience with React.js, Angular, or another modern UI framework.
- Strong JavaScript/TypeScript, HTML, and CSS skills.
- Experience with Databricks and/or PySpark.
- Strong SQL skills.
- Experience with relational databases such as PostgreSQL, MySQL, or SQL Server.
- Experience with Git and CI/CD.
- Strong understanding of application architecture and API integration.
- FastAPI / Flask / Django
- Databricks Delta Lake / Unity Catalog
- AWS, Azure, or Google Cloud Platform
- Docker/Kubernetes
- Kafka or other streaming technologies
- Terraform
- Automated testing with PyTest
- Agile/Scrum experience
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