with strong backend and frontend development experience, cloud expertise, and a solid foundation in data engineering and analytics tools. The ideal candidate is comfortable working across the tech stack, deploying to the cloud, and working with data tools such as FastAPI, NumPy, Pandas, Tableau, MATLAB, and DuckDB.
Responsibilities:
Develop scalable APIs and backend services using FastAPI, Django, or Flask
Build responsive and interactive UIs using React.js or Vue.js
Work with data pipelines and analytical workflows using Pandas, NumPy, DuckDB, and MATLAB
Integrate dashboards and visualizations using tools like Tableau
Design and implement RESTful APIs and microservices architecture
Deploy applications and services to AWS, GCP, or Azure
Set up and maintain CI/CD pipelines, Docker containers, and Kubernetes clusters
Collaborate with cross-functional teams including data scientists, DevOps, and product managers
Required skills-
5+ years of Strong experience with Python and frameworks like FastAPI, Flask, or Django
Proficiency with JavaScript, React.js, or Vue.js (mandatory exp in any 1 of these Front-end tech)
Hands-on experience with cloud platforms (AWS, GCP, or Azure)
Data analysis and transformation using Pandas, NumPy, and DuckDB (Mandatory)
Working knowledge of MATLAB for numerical and scientific computing
Familiarity with Tableau for dashboarding and data storytelling
Experience with SQL / NoSQL databases.
Should have experience in Elastic.
Good understanding of Docker, Kubernetes, and CI/CD practices
Strong understanding of data structures, algorithms, and system design
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