Senior Data Platform Engineer

Airwallex is a unified payments and financial platform for global businesses, powering over 100,000 businesses worldwide with integrated solutions for business accounts, payments, spend management and treasury.
Singapore
Data
Senior Software Engineer
In-Person
1,000 - 5,000 Employees
5+ years of experience
Finance

Description For Senior Data Platform Engineer

Airwallex, a leading unified payments and financial platform valued at US$5.6 billion, is seeking a Senior Data Platform Engineer to join their innovative team. With over 1,500 employees across 20+ global offices, Airwallex serves 100,000+ businesses worldwide, including prominent names like Brex, Rippling, and SHEIN.

In 2024, the Data Platform Engineering team is embarking on an exciting journey to implement various data processing tasks on their next-generation data platform. The role focuses on optimizing data storage, processing, applications, and interfaces while incorporating new data components and architectures like Lake House.

As a Senior Data Platform Engineer, you'll be at the forefront of technical decision-making, developing large-scale distributed data processing systems, and establishing scalable infrastructure. You'll work with cutting-edge technologies including Kafka, Spark, and Snowflake, while having the opportunity to mentor junior engineers and shape the company's data engineering standards.

The ideal candidate brings 5+ years of data engineering experience, strong technical expertise in languages like Kotlin, Java, Scala, or Python, and experience with big data technologies. You'll be joining a company backed by world-class investors like Sequoia and Salesforce Ventures, working on challenging problems at a global scale.

Airwallex offers an inclusive work environment, valuing diversity and making decisions based on merit and talent. This role presents an exceptional opportunity to work on ambitious projects while contributing to the future of global payments and financial technology.

Last updated 2 months ago

Responsibilities For Senior Data Platform Engineer

  • Engage in technical decision-making and custom development of service layer infrastructure components
  • Develop and automate large-scale, high-performance distributed data processing systems
  • Establish scalable data infrastructure and pipelines
  • Define shared data engineering tool standards
  • Provide guidance to junior engineers

Requirements For Senior Data Platform Engineer

Java
Python
Kotlin
Scala
Kafka
  • 5+ years of relevant experience as a data engineer
  • Bachelor's or Master's degree in CS/CE/CIS or equivalent experience
  • Knowledge of Kotlin/Java/Scala/Python/SQL
  • Experience with Kafka, Data Lake, Spark, Flink, DBT, Spring Boot, Hadoop, BigQuery, and Snowflake
  • Ability to design, build, and operate distributed systems
  • Strong working knowledge of Real-time/Batch processing systems
  • Experience working with data at PB scale

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