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Data Engineer

2 weeks ago

Paya Lebar, Singapore SSG SkillsFuture Singapore Agency Full time

[What the role is]

SSG is a dynamic and forward-thinking organization dedicated to empowering individuals and shaping the future of Singapore's workforce. As a statutory board under the Ministry of Education, SSG leads the charge in driving the SkillsFuture movement, a national initiative that promotes lifelong learning and skills development. With a strong focus on innovation and collaboration, SSG works closely with employers, training providers, and individuals to create a vibrant ecosystem of learning and growth. By offering a wide range of initiatives, programs, and funding schemes, SSG enables individuals to unlock their full potential, acquire new competencies, and stay ahead in a rapidly changing job market.

Join the Data Strategy & Analytics Division (DSAD) team to grow SSG into a data-mature organization where we use data pervasively and securely to deliver on our business missions:

- Develop and drive SSG’s data strategy, including LOIs, data competency, and maintaining strong links with CIO Office
- Develop, implement and maintain comprehensive data governance and management framework that complies with WOG requirements Implement Lines of Inquiries
- Support data management and exploitation
- Develop MLOps and instil best practices

[What you will be working on]
- Data Pipeline Management, Automation, and MLOps Proficiency
- Manage and optimize multi-stage data pipelines for various use cases, from data acquisition to consumption
- Automate data preparation and integration tasks using innovative tools and techniques
- Data Governance, Cataloging, and Collaboration
- Work closely with data governance teams to ensure data is accurately cataloged and available for governed reuse
- Collaborate with AI engineers to optimize data solutions for machine learning projects, focusing on data flow and accessibility
- Infrastructure Architecture and Data Modeling
- Design and manage scalable data infrastructure using cloud services like AWS
- Develop efficient data models and pipelines for large-scale data sets, ensuring data quality and availability
- Data Quality Assurance, Documentation, and Continuous Improvement
- Lead initiatives to establish standards for data accuracy and reliability
- Maintain comprehensive documentation on data architectures and management practices
- Stay updated on data engineering advancements, advocating for and implementing improvements
- Facilitate knowledge sharing and technical training sessions to enhance organizational data competency

[What we are looking for]
- Tertiary qualifications in computer science, statistics, applied mathematics, data management, information systems, information science, or a related quantitative field
- A minimum of six years of experience in data management disciplines, including data integration, modeling, optimization, and data quality
- At least three years of experience in cross-functional team collaboration and supporting data management/analytics initiatives
- Demonstrated ability to work creatively and collaboratively with both business and IT teams
- Strong interpersonal skills with the ability to engage and earn the respect of stakeholders at all levels
- Confident, energetic self-starter with a commitment to ethics, regulatory compliance, customer service, and business integrity
- Highly adaptable and committed to excellence in a dynamic business environment