Data Engineer: Scalable Pipelines, Data Lakes & Real‑Time Data
Summary
Data engineer at ETHOZ Capital in Singapore who designs, builds, and maintains scalable cloud ETL/ELT pipelines plus data lake, warehouse, and streaming architectures, ensuring data quality, governance, and cost efficiency while supporting analytics and PDPA compliance.
ETHOZ CAPITAL LTD. is hiring a data engineer to design, develop, and maintain scalable data pipelines and ETL/ELT processes in a cloud environment. You will build architectures including data lakes, warehouses, and streaming systems, ensuring data quality and governance while collaborating with data scientists, analysts, and software engineers.
The role focuses on optimizing storage, performance, and cost, with exposure to PDPA compliance and cross-functional analytics initiatives in Singapore.