Frontend Engineer – Data Dashboards & Cloud Apps

MM International, LLC; Warren (MI); Vor Ort; USD 90.000 - 130.000; Vollzeit

Zusammenfassung

MM International, LLC seeks an experienced Front-End Application Developer with strong expertise in React, Python, Databricks, and Microsoft Azure. The role focuses on building interactive data applications, dashboards, and enterprise web solutions, while supporting containerization and deployment in Kubernetes environments.

The ideal candidate will create dashboards with Streamlit or Dash, integrate Databricks SQL and REST APIs, and contribute to CI/CD pipelines and production monitoring in a

Qualifikationen

• Strong experience with React and modern front-end development.
• Hands-on Python and FastAPI experience.
• Experience with Streamlit and/or Dash.
• Experience with Databricks SQL, notebooks, or jobs.
• Hands-on Docker and Kubernetes experience.
• Experience with Microsoft Azure; AKS preferred.
• Knowledge of REST APIs, Git, and CI/CD practices.

Aufgaben

• Build interactive dashboards and data apps using Streamlit and/or Dash.
• Integrate apps with Databricks SQL, notebooks, jobs, and REST APIs.
• Develop Python back-end services using FastAPI or similar.
• Deploy and support apps with Docker, Kubernetes, and AKS.
• Implement CI/CD, automated testing, monitoring, and performance optimization.
• Collaborate with data engineers, analytics teams, and stakeholders.

Kenntnisse

React

Python

FastAPI

Streamlit

Dash

Databricks

Docker

Kubernetes

Azure

REST APIs

Git

CI/CD

Jobbeschreibung

MM International, LLC seeks an experienced Front-End Application Developer with strong expertise in React, Python, Databricks, and Microsoft Azure. The role focuses on building interactive data applications, dashboards, and enterprise web solutions, while supporting containerization and deployment in Kubernetes environments.

The ideal candidate will create dashboards with Streamlit or Dash, integrate Databricks SQL and REST APIs, and contribute to CI/CD pipelines and production monitoring in a