Streamlit Developer - Python/Django (7-8 yrs)

Key Responsibilities :

- Design, develop, and maintain Streamlit applications for a wide range of internal and client-facing projects.

- Lead the architecture and design of scalable and high-performance data applications using Streamlit, Python, and various data visualization libraries (Plotly, Matplotlib, etc.).

- Work closely with data engineers, data scientists, and product managers to understand requirements and deliver web-based solutions that showcase key insights.

- Develop and implement interactive dashboards and reports to provide real-time data insights and visualizations.

- Optimize and troubleshoot existing Streamlit applications for performance, scalability, and user experience.

- Integrate Streamlit applications with backend services, databases (SQL/NoSQL), and external APIs to provide rich data-driven applications.

- Stay up-to-date with new trends and technologies in web development and data visualization, and share your knowledge with the team.

- Mentor junior developers and conduct code reviews to ensure quality and consistency across projects.

- Maintain documentation for code, workflows, and deployment processes for internal teams.

Required Skills & Qualifications :

- 7+ years of experience in software development, with at least 3 years focused on Streamlit application development.

- Strong proficiency in Python, with experience in building data-driven applications and data manipulation using libraries like Pandas, NumPy, and Scikit-learn.

- Extensive experience with Streamlit, including custom widgets, layouts, and integration with data visualization libraries like Plotly, Matplotlib, and Altair.

- Experience with REST APIs, SQL and NoSQL databases (PostgreSQL, MongoDB, etc.) for managing data within web applications.

- Proficient in version control systems like Git and collaborative development tools such as GitHub or GitLab.

- Experience deploying Streamlit apps in cloud environments like AWS, Azure, or GCP.

- Knowledge of containerization technologies (Docker) for app deployment and management.

- Strong understanding of front-end technologies (HTML, CSS, JavaScript) for customizing user interfaces and improving UX.

- Ability to optimize code for performance, scalability, and maintainability.

- Strong communication skills with the ability to work independently as well as part of a team.

Preferred Qualifications :

- Experience with CI/CD pipelines for deploying Streamlit applications.

- Knowledge of cloud-native services for data storage, computing, and deployment (AWS Lambda, EC2, S3).

- Familiarity with other web frameworks and tools like Flask, Django, or FastAPI.

- Experience with cloud-hosted Docker containers and orchestration tools like Kubernetes.

- AWS/GCP certification is a plus.

- Experience in developing interactive web-based applications for data science, machine learning, or business analytics.