Senior Data Engineer: Scalable Pipelines & AI-ready Data
Summary
Build and maintain scalable data pipelines in Python and AWS to feed analytics and AI systems, ensuring clean, accessible data for Keppel’s sustainability and infrastructure projects.
Keppel Corporation in Singapore is looking for a Data Engineer to develop and maintain scalable data pipelines using Python and AWS services. The candidate will collaborate with analytics and business teams to ensure data accessibility and quality.
Key requirements include a Bachelor's degree in Computer Science or Engineering and 2-3 years of relevant experience. The role involves building data integrations while optimizing existing systems and ensuring end-to-end data quality.