Senior Data Engineer (Frontend)

As a Senior Frontend (Full Stack) Engineer, you will be responsible for designing, developing, and maintaining our data product suite. You will work closely with cross-functional teams including data scientists, data engineers, and UX/UI developers to create scalable, robust, and user-friendly applications. Your expertise in both front-end and back-end development will be crucial in implementing innovative features and ensuring seamless integration between different components of our data products. This role requires strong problemsolving skills, a deep understanding of data processing and visualization techniques, and a passion for delivering high-quality software solutions.

Responsibilities

• Collaborate with product owner, data scientists, data engineers and designers to understand product requirements and translate them into technical specifications.


• Design and develop full-stack solutions, including user interfaces, APIs, data processing and storage.


• Implement data visualization components using modern front-end frameworks and libraries.


• Develop scalable and efficient back-end services to handle data from multiple data source with complex business logic.


• Optimize application performance and ensure high availability and reliability.


• Conduct code reviews, ensure seamless deployment and testing of the data products and provide constructive feedback.


• Stay updated with the latest industry trends and best practices in full-stack development, data engineering, and data visualization.


• Troubleshoot and resolve issues reported by users, ensuring a smooth user experience.


• Continuously improve software development processes and contribute to the overall technical excellence of the team

Qualifications

• Bachelor's or master's degree in Computer Science, Software Engineering, or a related field.


• 5+ years of professional experience as a Full Stack Engineer, with a focus on datadriven applications.


• Strong proficiency in JavaScript, HTML, CSS, and modern front-end frameworks (e.g., React is preferred as we use React in our team).


• Expertise in server-side programming languages such as Node.js, Python or Java.


• In-depth knowledge of databases and SQL, with experience in designing and optimizing data models.


• Familiarity with data processing frameworks (e.g., Apache Spark) and big data technologies (e.g., Kafka) is a plus.


• Solid understanding of RESTful APIs and microservices architecture.


• Experience with cloud platforms (e.g., Azure, AWS) and containerization technologies (e.g., Docker, Kubernetes).


• Proficiency in version control systems (e.g., Git)


• Excellent problem-solving skills and the ability to debug complex issues in a distributed system.


• Strong communication skills and the ability to work effectively in a collaborative team environment.


• Prior experience working on data products or analytics platforms is highly desirable.