Job Purpose

We are seeking an experienced Data Engineer to co-lead with the Data Engineering Lead, who is in-charge of the enterprise data lakehouse for corporate data at NUS.

The role will be responsible for the design, development, testing, implementation, and maintenance of high-quality enterprise data lakehouse, ensuring they meet business needs and align with NUS strategic goals. The role will also ensure the proper implementation across all stages of the data lifecycle.

This is a technical lead hands-on role and the candidate should have been on active design and development at least 5 years prior.

Role and Responsibilities 

Technical Expertise
•    Participate in the technical design of the enterprise data lakehouse and its ETL/ELT framework.
•    Design data models for the enterprise data lakehouse, including both integration and analytics layers
•    Provide technical guidance and expertise to the project members, helping to solve complex technical challenges.
•    Stay updated about emerging technologies and industry trends to drive innovation within our organization.
•    Ensure adherence to best practices in design, development, testing, and maintenance.
Leadership Management
•    Perform Technical Lead role and mentor the project members, fostering a culture of innovation, collaboration, and excellence.
•    Perform Scrum Master role for the project team.
Delivery Management
•    Ensure timely and high-quality delivery, aligning with project objectives, scope, and timelines.
•    Lead the design and implementation of the enterprise data lakehouse projects to meet the university’s needs.
Quality Assurance
•    Implement quality control and testing procedures to guarantee the high-quality delivery.
•    Ensure the enterprise data lakehouse aligns with the university's regulatory and compliance requirements.

Qualifications and Requirements

•    Bachelor's degree in Computer Science, Information Technology, or a related field.
•    Minimum of 5 years of experience in technical leadership roles, with a strong emphasis on data lakehouse and data engineering solutions.
•    Ability to lead data engineering delivery, promoting collaboration and achieving project objectives.
•    Strong problem-solving and critical-thinking skills, with a proven track record of effectively addressing technical challenges and risk mitigation.
•    Strong knowledge of quality assurance processes, encompassing testing methodologies, and quality control procedures.
•    Relevant experience in designing, developing, and supporting data lakehouse and data engineering solutions.
•    Strong verbal, written and interpersonal communication skills with the ability to interact and communicate effectively with all levels of management, users, and vendors.
•    Must be a good team player, proactive in nature, fast learner, highly organized and go-getter attitude with can-do spirit.

Technical Expertise
•    Strong working experience in end-to-end development of data lakes and data warehouses, preferably with experience in Microsoft Fabric.
•    Strong working experience in Azure Data services.
•    Strong database working experience for transactional and analytics systems, including querying and tuning large, complex data sets and performance analysis.
•    Working experience in big data and DataSecOps is an added advantage.

More Information

Location: Kent Ridge Campus

Organization: NUS Information Technology

Department : Applications - Applications Architecture & Technology

Employee Referral Eligible:

Job requisition ID : 29458