Binance - Senior Data Engineer - Square (APAC Remote)

Hong Kong; Singapore; Taiwan2d ago

In Office Senior APAC Payments Artificial Intelligence Senior Data Engineer Java Scala Square Data Quality

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, or related fields, with 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). • Familiar 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.

Responsibilities

• Responsible for designing, building, and maintaining scalable data pipelines to support Square team’s data and feature engineering needs. • Lead feature data preparation, transformation, validation, and monitoring for machine learning and recommendation/search systems. • Collaborate closely with algorithm, product, and business teams to translate business requirements into reliable data and feature solutions. • Drive the development of core data infrastructure and feature platforms with 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 together with Product and Business stakeholders.

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)