Senior Data Engineer – Square, APAC
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Job Description
Senior Data Engineer building scalable data pipelines and feature platforms for Binance’s global cryptocurrency ecosystem. Supporting machine learning and recommendation systems across APAC.
Responsibilities:
- Design, build, and maintain scalable data pipelines supporting the Square team’s data and feature engineering needs
- Lead feature data preparation, transformation, validation, and monitoring for machine learning and recommendation/search systems
- Collaborate with algorithm, product, and business teams to translate business requirements into reliable data and feature solutions
- Drive development of core data infrastructure and feature platforms using data-driven strategies to maximize business impact
- Ensure data quality, stability, and performance across offline and online feature pipelines
- Identify data gaps and optimization opportunities, and define success metrics with Product and Business stakeholders
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, or related fields
- 5+ years of relevant industry experience
- Strong hands-on experience in data engineering, including large-scale data processing, ETL/ELT pipelines, and feature engineering
- Expert-level proficiency in Java and Scala
- Solid experience with big data technologies (e.g. Spark, Hive, Flink, or similar distributed systems)
- Familiarity with machine learning feature lifecycle, including offline training features and online serving features
- Experience working with data warehouses and feature stores is a strong plus
- Bilingual English and Chinese are required to be able to coordinate with overseas partners and stakeholders
- Strong ownership, communication skills, and ability to work in a fast-paced, cross-functional environment
Benefits:
- Shape the future of finance
- Collaborate with world-class talent in a user-centric global organization with a flat structure
- Tackle challenging projects in a fast-paced and innovative enviornment with autonomy
- Thrive in a results-driven workplace with opportunities for career growth and continuous learning
- Competitive salary and company benefits
- Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)
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