Job Purpose

We are seeking an experienced Data Platform Engineer to manage data platform operations, and to design and deliver ELT/ETL frameworks at NUS.
The role will be responsible for addressing stakeholders’ needs regarding data platform operations and ensuring alignment with business requirements. The role will also co-lead the design, development and maintenance of metadata driven ELT/ETL frameworks in NUS.
This is a hands-on role, and the candidate should have at least 5 years of active, hands-on design and development experience.

Role and Responsibilities 

Technical Expertise

• Participate in the technical design of data platforms and their technologies, including their framework, architecture, standards, and guidelines.
• Stay up to date with emerging data platform technologies and industry trends to drive innovation.
• Ensure adherence to best practices in ELT/ETL framework design, development, testing, and maintenance.
• Provide technical guidance and expertise to the different stakeholders on data platform operations, helping to solve complex technical challenges.

Leadership Managemen

• Lead the team, fostering a culture of innovation, collaboration, and excellence.
• Put in place ways of working to enhance team’s performance and productivity.
• Provide guidance to the data technical teams on using the data platform and ELT/ETL framework.
• Foster collaboration and high-performance culture within the team.

Delivery Management

• Design, develop, and maintain metadata-driven ELT/ETL framework to meet the university’s needs.
• Ensure timely and high-quality ELT/ETL framework design and delivery, aligned with project objectives, scope, and timelines.

Quality Assurance

• Implement quality control and testing procedures to guarantee the high-quality delivery.
• Ensure alignment 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 focus on data platforms, ELT/ETL frameworks, and data engineering solutions.
•    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 ELT/ETL frameworks 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 managing enterprise data platform operations.
•    Strong working experience in end-to-end development of ETL frameworks and data engineering solutions for data lakes and data warehouses.
•    Strong working experience in Azure Data services, preferably Microsoft Fabric.
•    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

Job requisition ID : 29460