Cloud Data Engineer

Responsibility

Collaborate with finance and actuarial teams to identify business challenges, propose, and develop cloud-based architectures and solutions.
Analyze end-to-end business processes and implement automation using cutting-edge technologies.
Design and build scalable data platforms, automated data ingestion, and integration pipelines.
Utilize data management tools for data ingestion, quality, security, lineage, cataloging, and master data management.
Work with data storage solutions, including Data Lakes, Relational Databases, and NoSQL Databases.
Diagnose and resolve complex operational issues in enterprise environments, interacting with AWS cloud services, on-premises infrastructure, and external applications.

Role Requirements

Bachelor's degree or equivalent in Computer Science, Computer Engineering, Statistics, or related fields.
Experience managing large-scale infrastructure across cloud platforms.
Proficiency in data management architectures, such as data warehouses, data lakes, or data hubs.
Hands-on experience (2+ years) in data engineering, handling structured and unstructured data from diverse sources.
Expertise in implementing ETL, Data Streaming, or Data Analytics solutions (e.g., PySpark, Kafka).
Strong knowledge of AWS Cloud platform features and capabilities.
Experience working in Agile project environments.
Familiarity with CI/CD or DevOps practices.
Excellent written and verbal communication skills in English and Chinese.
Passionate about learning and adopting new technologies.
Thrives in a fast-paced, collaborative environment within a small, cross-functional team.
Self-motivated and capable of independent task management.
Strong interpersonal skills, with a preference for proven client interaction experience.