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Job Overview

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on… If you would like more information about how your data is processed, please contact us.

Key points

  1. Responsible for designing, building, and maintaining scalable data pipelines to support Square team’s data and feature engineering needs.

  2. Lead feature data preparation, transformation, validation, and monitoring for machine learning and recommendation/search systems.

  3. Collaborate closely with algorithm, product, and business teams to translate business requirements into reliable data and feature solutions.

  4. Drive the development of core data infrastructure and feature platforms with data-driven strategies to maximize business impact.

  5. Strong hands-on experience in data engineering, including large-scale data processing, ETL/ELT pipelines, and feature engineering.

  6. Expert-level proficiency in Java and Scala.

  7. Solid experience with big data technologies (e.g. Spark, Hive, Flink, or similar distributed systems).

  8. Familiar with machine learning feature lifecycle, including offline training features and online serving features.

Languages

Mandarin requiredEnglish required

Skills

Machine LearningETLStakeholder ManagementJavaRecruitingCommunication

Experience: Senior-level · 5+ years

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