Full Stack Engineer (Data Analysis & Visualization)

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Requirements:

• Experience with Python
• Backend: FastAPI, Pydantic, Pandas, PostgreSQL, Redis
• Frontend: Angular (preferred) or React, Vue
• Data analysis: Pandas, NumPy, SciPy
• Data visualization: D3.js, Seaborn, Plotly, Matplotlib
• Security: OWASP best practices
• DevOps: Docker, Kubernetes, CI/CD, cloud platforms (DigitalOcean, AWS, or GCP)
• Experience working in a Linux environment

Responsibilities:

• Develop and maintain full-stack solutions focused on data analysis and visualization
• Design and implement interactive dashboards and data exploration tools
• Optimize data processing workflows for performance and scalability
• Ensure best practices in security, UX, and software development
• Collaborate with data scientists, product managers, and engineers to refine insights delivery