Binance3mo ago

Senior Data Engineer - Square

AsiaRemoteFull-time: Remotesenior

Data EngineeringData EngineerDataData & AI

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Overview

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users.

Technical Tools

Data EngineeringData EngineerDataData & AI

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

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

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