Data Engineer Intern

6 days ago

Queenstown, Singapore PSA Singapore Full time

We are the World's Port of Call. Our winning formula is our People.

In our continuing journey to build great teams, we are looking for passionate individuals driven by a strong sense of purpose. It is only with the determination and commitment of our People that we can serve our customers, lead our industry and contribute to our nation to create new possibilities.

Working Alongside, we can deliver extraordinary results together Join #TeamPSA today

**DATA ENGINEER INTERN**

**Job no**: 493637
**Work type**: Internship
**Categories**: Internship

**About the Role**

**Responsibilities**
- Assist with the design, develop, and maintenance of our data pipelines and data warehouses across cloud (Microsoft Azure) and on-premise environments.
- Collaborate with the data engineering team to improve the performance and scalability of our data infrastructure and ensure data quality and integrity across the data platform.
- Create and maintain documentation for data pipelines and data architecture.
- Create and optimize interactive dashboards to visualize business metrics.
- Conduct research and provide recommendations on new technologies and tools that can be used to improve the data infrastructure.

**Requirements**:

- Currently pursuing a Bachelor’s degree in Computer Science, Computer Engineering, Data Science or a related field (specialization in Software Engineering is a plus).
- Knowledge of data warehousing and familiarity with big data platforms, cloud technologies.
- Proficiency in Python programming, SQL and PowerBI.
- Experience with ETL tools, data pipelines, and data warehousing.
- Strong data analysis, data verification and problem-solving abilities.
- Analytical, meticulous, and team player.
- Effective communication skills for collaboration across teams.
- Self-motivated and possess initiative to learn new skills and technologies.
- Experience with Microsoft Azure PaaS services (a plus)
- Familiarity with big data technologies (e.g., Hadoop, Hive, Spark) and Databricks platform (a plus).

**Advertised**: 21 Mar 2025
**Applications close**: 31 Dec 2025

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