Data Engineer, Singapore Global Network (1+1 Year Contract)

免费注册后解锁"你的匹配分 vs 高分画像"与个人技能缺口。

[What the role is]
The Singapore Global Network (SGN) is a division in the Economic Development Board tasked to re-energise Singapore's efforts in building a strong and extensive ecosystem of overseas Family, Friends, Fans (3F) for Singapore. SGN leads the Whole-Of-Government effort to coordinate across agencies and strengthen our collective networks whose skills, affinity and influence could help build linkages to global business and talent communities and enhance the international mindshare of Singapore as a leading globally connected city.
[What you will be working on]
As a member of SGN's digital products team, you will develop and maintain data infrastructure and pipelines that enable SGN's analytics and reporting capabilities. You will work primarily with Databricks to implement robust data architectures that support our network analysis and business intelligence needs.
We are looking for a Data Engineer who is comfortable with building end-to-end data solutions using Databricks and AWS services. This role focuses on creating scalable data pipelines, implementing data governance practices, and preparing clean, reliable datasets for reporting and analytics. The role will involve but not be limited to:
Design and implement data pipelines using Databricks workflows and notebooks

Build and maintain medallion architecture (Bronze, Silver, Gold layers) for data processing and transformation

Develop ETL processes to integrate data from various SaaS platforms and internal systems

Implement data governance practices using Unity Catalog for data discovery, lineage, and access control

Create and maintain Jupyter notebooks for data exploration and collaborative analytics

Design scalable data storage solutions using AWS services (S3, RDS, Athena)

Build data models and prepare datasets optimised for reporting and business intelligence

Implement ML pipelines for basic predictive analytics and data insights

Ensure data quality, validation, and monitoring across all data workflows

Collaborate with stakeholders to understand data requirements and deliver analytics-ready datasets

[What we are looking for]
Requirements
Resourcefulness, integrity, drive, and strong collaboration skills are essential. We're looking for candidates with:
2-5 years of data engineering experience, with demonstrated ability to work independently on data pipeline projects

Diploma or degree in Computer Science, Engineering, Information Technology, Data Science or related disciplines

Proficiency with Databricks platform including workflows, notebooks, and cluster management

Experience implementing medallion architecture for data lake solutions

Hands-on experience with Unity Catalog for data governance and cataloguing

Strong Python and SQL skills for data manipulation and transformation

Experience with Jupyter notebooks and collaborative data science environments

Working knowledge of AWS data services (S3, Athena, RDS)

Understanding of ETL/ELT principles and data pipeline design patterns

Basic knowledge of machine learning concepts and ML pipeline implementation

Singaporean or PR

Preferred Qualifications
Databricks Certified Data Engineer Associate or Professional

Experience with AWS data services and Government Commercial Cloud (GCC)

Previous work integrating CRM systems like Salesforce with data platforms

Experience with data visualisation tools and business intelligence platforms

Knowledge of data governance frameworks and compliance requirements

Understanding of event-driven data architectures and real-time processing

Experience with BI tools such as Power BI or Tableau will be a plus

⚑ 岗位信息收录自公开招聘页（ATS 官方），以雇主官网为准