Senior Data Engineer – Square, APAC

🔥 0 minutes ago

🌐 Hong Kong, Singapore, +1 more countries – Remote

🇭🇰 Hong Kong – Remote 🇸🇬 Singapore – Remote 🇹🇼 Taiwan – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

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Binance

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2017

₿ Crypto

💳 Fintech

💰 Initial Coin Offering on 2020-12

Crypto • Fintech

Binance is the world's leading cryptocurrency exchange, serving over 235 million registered users across more than 180 countries. The platform offers a wide array of services, including the trading of over 350 cryptocurrencies in Spot, Margin, and Futures markets. Users can also buy and sell crypto via Binance P2P, earn interest through Binance Earn, and engage in NFT trading on the Binance NFT marketplace. Binance provides low transaction fees and diverse payment options, making it a preferred choice for cryptocurrency enthusiasts worldwide.

📋 Description

• 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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