The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
The lead government agency in Singapore drives the nation’s Smart Nation initiative and public sector digital transformation.
Job Description
Data Engineer, Digital Government Blueprint (DGB 2.0)
What you will be working on:
Translate data requirements from business users into technical specifications.
Collaborate with partner agency’s IT teams on technology stack, infrastructure and security alignment.
Build out data product as part of a data team:
Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.
Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;
Construct, test, and update useful and reusable data models based on data needs of end users.
Design and build secure mechanisms for end users and systems to access data in data warehouse.
Research, propose and develop new technologies and processes to improve agency data infrastructure.
Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.
Maintain data catalogue to document data assets, metadata and lineage.
Implement data quality checks and validation processes to ensure data accuracy and consistency.
Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data.
What we are looking for:
A Bachelor’s Degree, preferably in Computer Science, Software Engineering, Information Technology, or related disciplines.
Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.
Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.
Experience in architecting data and IT systems.
Experience with orchestration frameworks such as Airflow, Azure Data Factory.
Experience with distributed data technologies such as Spark, Hadoop.
Proficiency in programming languages such as Python, Java, or Scala.
Proficiency in writing SQL for databases
Familiarity with building and using CI/CD pipelines.
Familiarity with DevOps tools such as Docker, Git, Terraform.
Preferred requirements:
Experience in designing, building, and maintaining batch and real-time data pipelines.
Experience with Databricks.
Experience with implementing technical processes to enforce data security, data quality, and data governance.
Familiarity with government systems and government’s policies relating to data governance, data management, data infrastructure, and data security.
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.
No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
No Client Relationship: This company is not a client of SpringCube unless stated.
To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
No Liability: SpringCube is not liable for inaccuracies.
Save
