Job Description

Job Title: Senior Frontend Engineer (React – Data & Analytics Platforms)

Role Overview

We are seeking an experienced Senior Frontend Engineer to design, build, and optimize modern web applications that power our data-driven products. The ideal candidate combines strong UI/UX sensibility with working knowledge of backend technologies and data engineering workflows, enabling seamless integration between frontend interfaces and data services.

Key Responsibilities

Frontend Development

• Develop responsive, high-quality web applications using React , JavaScript/TypeScript , and modern UI frameworks.
• Build reusable, scalable UI components and enforce best practices in frontend architecture and state management.

Integration & Collaboration

• Collaborate with data engineers and backend teams to integrate applications with APIs, Databricks workflows, and data pipelines .
• Consume and visualize data from enterprise data platforms and cloud services.

Performance & Quality

• Optimize applications for performance, accessibility, scalability, and cross-browser compatibility.
• Troubleshoot and resolve issues across the application stack.

Engineering Excellence

• Contribute to CI/CD pipelines and participate in code reviews to maintain high engineering standards.
• Follow Agile development practices and support continuous improvement initiatives.

Required Skills & Experience

• 6–8+ years of hands-on experience developing frontend applications using React .
• Strong proficiency in JavaScript/TypeScript, HTML5, CSS3 , and modern frontend tooling.
• Experience integrating frontend applications with RESTful APIs and data platforms.
• Working knowledge of backend frameworks such as FastAPI or similar.
• Understanding of authentication patterns and cloud environments ( Azure, AWS, or GCP ).
• Experience with Git, CI/CD pipelines, and Agile methodologies .

Preferred Qualifications

• Experience building data visualization components using libraries such as D3, Plotly , or similar.
• Background working in enterprise-scale data engineering or analytics environments .
• Exposure to backend technologies such as Node.js, Python , or similar.

Professional Attributes

• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work independently while managing multiple priorities.

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