【Job Description】 Airwallex is a powerful financial technology platform for modern global businesses. Established in 2015, its purpose is to connect entrepreneurs, business builders, makers, and creators with opportunities worldwide. With a global footprint across Asia-Pacific, Europe, and North America, Airwallex empowers businesses to operate anywhere, anytime. At Airwallex, you will work closely with a group of talented engineers with a passion for learning through solving the most challenging problems with cutting-edge technology. In this Data Engineering role, you need to have systemic thinking with data content architectural design and will be building a metrics layer to handle data at a massive scale. And you will be building robust data modeling to produce high-quality, consistent, structured data for running business applications and enabling less tech-savvy colleagues to do self-service analytics. In short, you will make Airwallex to be a truly data-driven organization. We are looking for talented senior Data Engineers excited about redefining what it means to do Data Engineering. However, we also recognize that each Data Engineer has a unique blend of skills. Whether your strength is in data modeling or data processing, we want to talk to you. 【Your Responsibilities】 ● Work in a variety of settings to build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret. ● Develop and automate large-scale, high-performance distributed data processing systems (batch/ streaming) to drive Airwallex business growth and improve the product experience. ● Evangelize high-quality software engineering practices toward building data infrastructure and pipelines at scale. ● Lead data engineering projects to ensure pipelines were reliable, efficient, testable, and maintainable and were largely in charge of architecting solutions. ● Design our data content models for optimal storage and retrieval and to meet critical product and business requirements. ● Contribute to shared Data Engineering tooling standards to improve the productivity and quality of output for Data Engineers across the company. 【Qualifications】: ● 5+ years of relevant experience as a data engineer. ● Bachelor's or Master's degree in CS/CE/CIS (or equivalent experience) with knowledge of Kotlin / Java / Scala / Python / SQL. Knowledge of Spring Boot, Spark, Flink, Hadoop, BigQuery, and Snowflake is preferred. ● Ability to take ownership of designing, building, and operating distributed systems and establishing overarching data architecture. ● Strong working knowledge of Real-time/Batch processing systems. ● Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. ● Strong analytic skills related to working with unstructured datasets. ● Build processes supporting data transformation, data structures, metadata, dependency, and workload management. ● Both excellent written and verbal communication skills across teams in both Mandarin and English.