The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Senior Data Engineer (Frontend)
Company Overview:
This company is Singapore’s largest content creator and national media network, operating a wide range of TV channels, radio stations, and digital platforms. Its mission is to engage, entertain, and enrich audiences through the power of creativity. With a commitment to inclusivity and diversity, the company offers a collaborative environment where talent thrives and aims to create innovative solutions that enhance user experiences.
Job Description:
Responsibilities:
Collaborate with cross-functional teams (product owners, data scientists, data engineers, and designers) to translate product requirements into technical specifications.
Design and develop full-stack solutions, including user interfaces, APIs, and data processing/storage systems.
Implement data visualization components using modern front-end frameworks and libraries.
Develop scalable and efficient back-end services to handle data from multiple sources, incorporating complex business logic.
Optimize application performance to ensure high availability and reliability.
Conduct code reviews, ensure smooth deployment, and test data products while providing constructive feedback.
Stay updated with the latest trends and best practices in full-stack development, data engineering, and data visualization.
Troubleshoot and resolve user-reported issues to maintain a seamless user experience.
Continuously improve software development processes and contribute to the overall technical excellence of the team.
Requirements:
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, focusing on data-driven applications.
Strong proficiency in JavaScript, HTML, CSS, and modern front-end frameworks (React preferred).
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 distributed systems.
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.
Disclaimer:
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.
No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
No Client Relationship: This company is not a client of SpringCube unless stated.
Users must click to apply, redirecting to the employer’s career page.
No Liability: SpringCube is not liable for inaccuracies.
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