Senior Data Engineer (Frontend)
at Cornerstone Staffing Pte Ltd
- Full Time
- 4 weeks ago
- 5,000 - 6,000 USD Monthly
- 2 (vacancy)
Job Role Insights
-
Date Posted:
Posted 4 weeks ago -
Hiring location
Singapore -
Offered Salary
5,000 - 6,000 USD / Monthly -
Min. Qualification
Bachelor’s Degree -
Experience
5 Years Min -
Job Type
Full Time -
Job Role
Software Developer
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.
