Senior data engineer hired via Randstad Singapore for a large enterprise client: design and run scalable cloud data ingestion/transformation pipelines that support reporting, analytics, machine learning, and AI-driven applications, while owning reliability, CI/CD, and data governance. Core stack: Python, SQL, distributed data processing, and cloud platforms.
about the company
Our client is a prominent, large-scale enterprise undergoing a major digital transformation. They are actively expanding their technology infrastructure to support advanced analytics, machine learning, and business-wide innovation.
about the role
Design and operate highly scalable data ingestion and transformation pipelines within a modern cloud ecosystem.
Process and integrate diverse datasets to support reporting, analytics, and complex machine learning models.
Develop and manage the backend data architecture required for advanced information retrieval and AI-driven business applications.
Oversee platform reliability, including performance monitoring, deployment automation, and incident resolution.
Ensure all solutions adhere to strict enterprise data governance, security, and compliance standards.
skills and experience
Degree in Computer Science, Engineering, or a relevant technical discipline.
Minimum 5 years of experience, at least 8 years of hands-on experience in data engineering, platform operations, or cloud-scale analytics.
High proficiency in Python and SQL for complex data manipulation.
Strong working knowledge of distributed data processing frameworks and large-scale data concepts.
Practical experience supporting data structures for modern AI frameworks or advanced search solutions.
Thorough understanding of CI/CD workflows, enterprise cloud security, and release management.
To apply online please use the 'apply' function, alternatively you may contact Evangeline.
(EA: 94C3609/ R24124002 )