Sr. Data Applications Engineer

Danaher UK

Bangalore, India
Reactjs, nodejs, and streamlit
Flask, fastapi, and python frameworks
Restful api design
Design, develop, and deploy full-stack Data/AI Applications for data visualization and AI-powered insights using ReactJS, NodeJS, and Streamlit

Job Summary

  • Design, develop, and deploy full-stack Data/AI Applications for data visualization and AI-powered insights using ReactJS, NodeJS, and Streamlit.
  • Build and maintain robust APIs and microservices using Flask, FastAPI, and other Python frameworks to support scalable data pipelines and machine learning workflows.
  • Collaborate cross-functionally with data scientists, product managers, and DevOps/MLOps teams to deliver high-performance, user-centric solutions that bridge data engineering and application development.

Matching Summary

Design, develop, and deploy full-stack Data/AI Applications for data visualization and AI-powered insights using ReactJS, NodeJS, and Streamlit.

Skills & Requirements

Must-have

  • ReactJS, NodeJS, and Streamlit
  • Flask, FastAPI, and Python frameworks
  • RESTful API design
  • Cloud environments (AWS, Azure, GCP)
  • CI/CD pipelines

Nice-to-have

  • Interactive dashboards and data apps
  • Containerization tools like Docker
  • Vector embeddings on RAG based applications
  • Integrating AI/ML models into applications

Key Requirements

  • 5+ years of full-stack development experience
  • JavaScript (ReactJS, NodeJS) proficiency
  • Python (Flask, FastAPI) proficiency
  • Scalable web application architecture
  • Secure data handling practices

Work Rights

Not specified

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