Posted:1 day ago|
Platform:
On-site
Full Time
● Develop scalable APIs and backend services using FastAPI, Django, or Flask
● 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
● Strong experience with Python and frameworks like FastAPI, Flask, or Django
● Proficiency with JavaScript, React.js, or Vue.js
● Hands-on experience with cloud platforms (AWS, GCP, or Azure)
● Data analysis and transformation using Pandas, NumPy, and DuckDB
● 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
Landmark Group
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