UI/Full stack developer

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Requirements:

• 5+ years’ of experience in the Front-end application development using React/Angular/Vue.js, CSS preprocessors (Sass/Less), and state management libraries (Redux).
• Bachelor's degree in computer science or related field, or equivalent industry experience.
• Experience with Python (Django/Flask), Node.js, or Java Spring Boot for API development.
• Expertise in Power BI, Tableau, or Looker for dashboard creation and DAX/MDX scripting.
• Advanced SQL skills for complex joins and window functions, plus NoSQL schema design.
• Ability to communicate technical concepts to non-technical stakeholders and prioritize tasks in Agile environments.

Responsibilities:

• Develop and maintain scalable web applications using modern frameworks like React (front-end) and Node.js/Python (back-end), ensuring seamless integration between UI components and server-side logic.
• Partner with product/project manager(s) to convert prototypes into responsive interfaces using HTML5, CSS3, and JavaScript/TypeScript, prioritizing accessibility and cross-browser compatibility.
• Build secure RESTful APIs and GraphQL endpoints to connect front-end applications with BI reporting tools and databases.
• Create interactive reports using Power BI, Tableau, or Cognos, integrating data from SQL/NoSQL databases and APIs to visualize KPIs for stakeholders.
• Design and optimize data workflows using SSIS, Python Pandas, or Apache Airflow to transform raw data into structured formats for analysis.
• Collaborate with peer developers and engineers to design schemas that support reporting requirements, ensuring efficient query performance via indexing and partitioning.
• Architect relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB) databases, implementing ORM tools like SQLAlchemy or Sequelize for CRUD operations.
• Configure CI/CD pipelines using GitHub Actions or Jenkins to automate testing/deployment of full-stack and BI components.
• Monitor application responsiveness and optimize BI query execution times through caching strategies (e.g., Redis).