Senior Data Engineer
Job details
At Airwallex (airwallex.com) , we're building the future of global finance on one platform. Founded in 2015 in Melbourne, Airwallex is the leading financial technology platform for modern businesses to grow beyond borders. With one of the world's most powerful payments infrastructure, our technology empowers businesses of all sizes to accept payments, move money globally, and simplify their financial operations, all on one single platform. If you're excited to do the most ambitious work of your career and change the way money moves around the world - join us! 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 Platform Engineering role, you will be building real-time systems 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 Platform Engineers excited about redefining what it means to do Data Engineering. However, we also recognize that each Data Platform Engineer has a unique blend of skills. Whether your strength is in data modeling or in stream processing, we want to talk to you. Your Responsibilities:
- 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 are reliable, efficient, testable, and maintainable.
- Design our data 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.
- Provide mentorship to junior engineers.
- 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 with working data at PB scale.
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