Senior Data Platform Engineer

5 days ago


Singapore Airwallex Full time

If you’re excited to do the most ambitious work of your career and change the way money moves around the world - join us

**Who You Are? Role Overview**:
In this data engineering role, we are seeking engineers with a background in data engineering to join us in various aspects of data engineering, leveraging your past experiences in the field.

**In this role, you will**:- Develop and automate large-scale, high-performance distributed data processing systems (batch/streaming) to drive Airwallex's business growth and enhance product experiences.- Advocate for high-quality software engineering practices to establish scalable data infrastructure and pipelines.- Contribute to defining shared data engineering tool standards to enhance the productivity and output quality of data engineers across the company.- Provide guidance to junior engineers.

**You might be a great fit if you**:
- Have 5+ years of relevant experience as a data engineer.- Hold a Bachelor's or Master's degree in CS/CE/CIS, (or equivalent experience) with knowledge of Kotlin / Java / Scala / Python / SQL. Knowledge of Kafka, Data Lake, Spark, Flink, DBT, Spring Boot,, Hadoop, BigQuery, and Snowflake is preferred.- Ability to take ownership of designing, building, and operating distributed systems and establishing overarching data architecture.- Possess strong working knowledge of Real-time/Batch processing systems.- Have experience with working data at PB scale.

Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

Location
- SG - Singapore

Type
- Full time

Department
- Engineering

Data Platform



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