Data Engineer - Islandwide, SG

Roles & Responsibilities

We are recruiting Data Engineers with strong technical ability who can articulate well to non-tech audience, who will join our team on a permanent basis.

Role :

This role will be part of the UST Data Science team, which has achieved great recognition and results in its short life. The Data Engineer will engage with external Clients and internal customers, understand their needs, and design, build, and maintain data pipelines and infrastructure using Google Cloud Platform (GCP).

This will involve the design and implementation of scalable data architectures, ETL processes, and data warehousing solutions on GCP. The role requires expertise in big data technologies, cloud computing, and data integration, as well as the ability to optimize data systems for performance and reliability.

This requires a blend of skills including programming, database management, cloud infrastructure, and data pipeline development. Additionally, problem-solving skills, attention to detail, and the ability to work in a fast-paced environment are valuable traits.

You will frequently work as part of a scrum team, together with data scientists, ML engineers, and analyst developers, to design and implement robust data infrastructure that supports analytics and machine learning initiatives.

Responsibilities :

• Design, build, and maintain scalable data pipelines and ETL processes using GCP services such as Cloud Dataflow, Cloud Dataproc, and BigQuery.
• Implement and optimize data storage solutions using GCP technologies like Cloud Storage, Cloud SQL, and Cloud Spanner.
• Develop and maintain data warehouses and data lakes on GCP, ensuring data quality, accessibility, and security.
• Collaborate with data scientists and analysts to understand data requirements and provide efficient data access solutions.
• Implement data governance and security measures to ensure compliance with regulations and best

practices.

patterns and best practices.

Pub / Sub.

development.

to non-technical stakeholders.

Big Query, ETL, Data Management, Python, SQL, NoSql, Kubernetes, Cloud computing (GCP)

Optional : Cloud Storage, Hadoop, Kafka

Tell employers what skills you have

Machine Learning

Big Data

Data Modeling

Pipelines

Hadoop

Data Management

ETL

Data Integration

Data Quality

Data Engineering

SQL

Python

Data Science

Java

Data Warehousing

Databases