Data Engineer

4 weeks ago

Singapore SKILLSFUTURE SINGAPORE AGENCY Full time
Roles & Responsibilities

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

As a Data Engineer within DSAD, you will play a pivotal role in managing and optimizing data pipelines, ensuring the seamless flow and integrity of data across our organization. Your expertise in data pipeline management, automation, MLOps, data governance, and infrastructure architecture will contribute significantly to our mission of leveraging data to drive innovation and operational excellence. We are looking for a candidate who embodies our core values of integrity, collaboration, and continuous improvement, and who is passionate about harnessing the power of data to achieve our strategic objectives.

  • 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
    - Apply MLOps principles to integrate machine learning models efficiently with data pipelines and infrastructure
  • 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

  • Possess the required competencies to execute the job duties proficiently
  • 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

Tell employers what skills you have

Machine Learning
Team Collaboration
Missions
Lifelong Learning
Data Modeling
Pipelines
Data Management
Exploitation
Data Integration
Data Quality
Data Governance
Reliability
Data Engineering
Statistics
Cataloging
Data Strategy

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