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Jobs or company...

Data Engineer (DSAD)

Salary undisclosed
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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: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 ProficiencyManage and optimize multi-stage data pipelines for various use cases, from data acquisition to consumptionAutomate data preparation and integration tasks using innovative tools and techniquesApply MLOps principles to integrate machine learning models efficiently with data pipelines and infrastructureData Governance, Cataloging, and CollaborationWork closely with data governance teams to ensure data is accurately cataloged and available for governed reuseCollaborate with AI engineers to optimize data solutions for machine learning projects, focusing on data flow and accessibilityInfrastructure Architecture and Data ModelingDesign and manage scalable data infrastructure using cloud services like AWSDevelop efficient data models and pipelines for large-scale data sets, ensuring data quality and availabilityData Quality Assurance, Documentation, and Continuous ImprovementLead initiatives to establish standards for data accuracy and reliabilityMaintain comprehensive documentation on data architectures and management practicesStay updated on data engineering advancements, advocating for and implementing improvementsFacilitate knowledge sharing and technical training sessions to enhance organizational data competencyWhat we are looking for:Possess the required competencies to execute the job duties proficientlyA minimum of six years of experience in data management disciplines, including data integration, modeling, optimization, and data qualityAt least three years of experience in cross-functional team collaboration and supporting data management/analytics initiativesDemonstrated ability to work creatively and collaboratively with both business and IT teamsStrong interpersonal skills with the ability to engage and earn the respect of stakeholders at all levelsConfident, energetic self-starter with a commitment to ethics, regulatory compliance, customer service, and business integrityHighly adaptable and committed to excellence in a dynamic business environmentSuccessful candidates will be offered a 2-year contract in the first instance and may be considered for an extension or be placed on a permanent tenure.About SkillsFuture Singapore:SkillsFuture Singapore (SSG) is a statutory board under the Ministry of Education (MOE). It will drive and coordinate the implementation of the national SkillsFuture movement, promote a culture and holistic system of lifelong learning through the pursuit of skills mastery, and strengthen the ecosystem of quality education and training in Singapore. SSG will strengthen the adult training infrastructure by taking on all existing functions of the Committee for Private Education (CPE) and guide the Institute for Adult Learning (IAL) to enhance the capabilities and professionalism of adult educators. SSG will play a key role in the quality assurance for private education institutions and adult training centres. Together with educational institutions and training partners, SSG will ensure that students and working adults have access to high quality, industry-relevant training throughout life. SSG will also bring together synergies in continuing education and training (CET) and pre-employment training (PET), so skills requirements will continue to meet the demands of different sectors of the economy.
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: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 ProficiencyManage and optimize multi-stage data pipelines for various use cases, from data acquisition to consumptionAutomate data preparation and integration tasks using innovative tools and techniquesApply MLOps principles to integrate machine learning models efficiently with data pipelines and infrastructureData Governance, Cataloging, and CollaborationWork closely with data governance teams to ensure data is accurately cataloged and available for governed reuseCollaborate with AI engineers to optimize data solutions for machine learning projects, focusing on data flow and accessibilityInfrastructure Architecture and Data ModelingDesign and manage scalable data infrastructure using cloud services like AWSDevelop efficient data models and pipelines for large-scale data sets, ensuring data quality and availabilityData Quality Assurance, Documentation, and Continuous ImprovementLead initiatives to establish standards for data accuracy and reliabilityMaintain comprehensive documentation on data architectures and management practicesStay updated on data engineering advancements, advocating for and implementing improvementsFacilitate knowledge sharing and technical training sessions to enhance organizational data competencyWhat we are looking for:Possess the required competencies to execute the job duties proficientlyA minimum of six years of experience in data management disciplines, including data integration, modeling, optimization, and data qualityAt least three years of experience in cross-functional team collaboration and supporting data management/analytics initiativesDemonstrated ability to work creatively and collaboratively with both business and IT teamsStrong interpersonal skills with the ability to engage and earn the respect of stakeholders at all levelsConfident, energetic self-starter with a commitment to ethics, regulatory compliance, customer service, and business integrityHighly adaptable and committed to excellence in a dynamic business environmentSuccessful candidates will be offered a 2-year contract in the first instance and may be considered for an extension or be placed on a permanent tenure.About SkillsFuture Singapore:SkillsFuture Singapore (SSG) is a statutory board under the Ministry of Education (MOE). It will drive and coordinate the implementation of the national SkillsFuture movement, promote a culture and holistic system of lifelong learning through the pursuit of skills mastery, and strengthen the ecosystem of quality education and training in Singapore. SSG will strengthen the adult training infrastructure by taking on all existing functions of the Committee for Private Education (CPE) and guide the Institute for Adult Learning (IAL) to enhance the capabilities and professionalism of adult educators. SSG will play a key role in the quality assurance for private education institutions and adult training centres. Together with educational institutions and training partners, SSG will ensure that students and working adults have access to high quality, industry-relevant training throughout life. SSG will also bring together synergies in continuing education and training (CET) and pre-employment training (PET), so skills requirements will continue to meet the demands of different sectors of the economy.