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Sr Data Engineer - Angular - Mississauga

Photon

Canada

On-site

CAD 70,000 - 90,000

Full time

6 days ago
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Job summary

A tech company in Canada is seeking a skilled developer to enhance UI components using Angular and support web applications with Python. You will work closely with UX designers and backend engineers, ensuring a seamless user experience. Ideal candidates should have strong skills in Angular, experience with REST APIs, and a basic understanding of machine learning concepts. Join a dynamic team committed to delivering high-quality software solutions.

Qualifications

  • Strong experience in Angular (v10+) and building responsive UI components.
  • Proficiency in Python with framework knowledge like Flask or Django.
  • Basic understanding of machine learning concepts is necessary.

Responsibilities

  • Develop, enhance, and maintain responsive UI components using Angular.
  • Implement REST APIs and backend scripts in Python for web applications.
  • Collaborate in Agile teams and participate in the software development lifecycle.

Skills

Angular (v10+)
TypeScript
HTML5
CSS3
JavaScript
Python
Machine Learning Concepts
Version Control (Git)
CI/CD Pipelines
Problem-Solving
Job description
Key Responsibilities

Develop, enhance, and maintain responsive UI components using Angular (latest versions).

Collaborate with UX designers and backend engineers to deliver seamless end-to-end solutions.

Implement REST APIs and backend scripts in Python to support web applications.

Work with data processing workflows and integrate ML models (basic level).

Participate in the software development lifecycle – requirement gathering, design, development, testing, and deployment.

Ensure code quality, reusability, and scalability following best practices.

Collaborate in Agile teams, contributing to sprint planning, reviews, and retrospectives.

Required Skills

Strong experience in Angular (v10+), TypeScript, HTML5, CSS3, JavaScript.

Experience building responsive and reusable UI components.

Proficiency in Python (Flask, FastAPI, or Django frameworks preferred).

Basic understanding of machine learning concepts (classification, regression, model integration).

Familiarity with REST APIs, JSON, and data integration.

Good knowledge of version control (Git) and CI/CD pipelines.

Strong debugging, problem-solving, and performance optimization skills.

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