Data Engineer | ETL Pipelines
RANDSTAD PTE. LIMITED · Singapore ·
- Category
- Data engineering
Build and maintain ETL pipelines and data warehouse models to extract, clean, and load data for business use.
About the Company
I am currently partnering with an established technology company. They focus on building scalable data infrastructure and web-based tools to support complex, growing business needs.
About the Job
Design, build, and maintain robust ETL pipelines and data warehouse models.
Extract, clean, and load data from various sources into central repositories for seamless accessibility.
Investigate and troubleshoot data pipeline performance issues to identify root causes and optimize system efficiency.
Partner with data analysts to understand usage patterns and support data service requests.
Work collaboratively with cross-functional engineering teams to construct and sustain foundational data systems.
Maintain comprehensive scripts and documentation while ensuring adherence to standard compliance protocols.
Skills and Requirements
Bachelor's degree or higher in Computer Science, Business Analytics, Mathematics, or a closely related discipline.
Proficiency in at least one major programming language (such as Python, Java, or similar).
Hands-on expertise with big data processing frameworks and distributed computing technologies.
Solid practical experience with Linux operating systems and scripting.
Strong communication and interpersonal skills, coupled with a proactive, self-starting attitude.
(Plus Point) Familiarity with standard version control systems is an added advantage.
To apply online please use the 'apply' function, alternatively you may contact Evangeline. (EA: 94C3609/ R24124002)