Advanced Data Engineer

13 hours ago

Cebu City, Central Visayas, Philippines beBeeData Full time $100,000 - $120,000
Analytics Dashboard Engineer

We are seeking a skilled Full-Stack Engineer to design, build, and scale our analytics dashboard application.

As an Analytics Dashboard Engineer, you will be responsible for designing and implementing high-quality solutions to extract actionable insights from large datasets and design workflows to automate action on those insights.

You will develop and maintain APIs with Node.js/Nest.js and user-facing dashboards with Angular/TypeScript. Additionally, you will write clean, scalable, production-ready code with thorough unit test coverage.

Participate in design and architecture discussions, code reviews, and sprint planning. You will also debug production issues, optimize performance, and implement fixes quickly and effectively.

Key Responsibilities:
  • Design and implement data visualization solutions to extract actionable insights from large datasets.
  • Develop and maintain APIs with Node.js/Nest.js and user-facing dashboards with Angular/TypeScript.
  • Write clean, scalable, production-ready code with thorough unit test coverage.
  • Participate in design and architecture discussions, code reviews, and sprint planning.
  • Debug production issues, optimize performance, and implement fixes quickly and effectively.
Requirements:
  • Proven experience building analytics dashboards with dynamic tables and data visualizations.
  • Expertise in Angular and TypeScript for front-end development.
  • Strong Node.js development experience, preferably using Nest.js framework.
  • Proficiency in writing complex SQL queries (500+ lines) and optimizing query performance.
  • 3+ years of hands-on experience with AWS or other major cloud platforms.
  • Deep understanding of Agile/Scrum practices.
  • Track record of delivering high-quality, production-ready code in collaborative environments.
Preferred Skills:
  • Experience with CI/CD tools and automated deployment pipelines.
  • Knowledge of containerized systems and serverless computing.
  • Familiarity with microservices architectures and infrastructure-as-code principles.
  • Writing efficient SQL for big-data platforms.
  • Experience building analytics tools for e-commerce or SaaS environments.

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