Hybrid Data Engineer: Build Scalable Pipelines & Models
Summary
Manulife, a global insurance and financial services company, is hiring a Data Engineer in Kuala Lumpur to design, build, and optimize ELT/ETL data pipelines for batch and near real-time processing, delivering reliable data for reporting and analytics on cloud platforms such as AWS, Azure, or GCP.
Manulife is seeking a Data Engineer with 2–3 years of hands-on experience to design, build, and optimize data pipelines and platforms for reliable reporting and analytics. You will collaborate with analytics, data science, and business teams to deliver high-quality data for downstream applications.
You will work on batch and near real-time processing, develop ELT/ETL workflows, and ensure data quality, security, and cost efficiency across cloud data platforms such as AWS, Azure, or GCP.