Global Payments Data Engineer – Real-Time Data & Insights

ByteDance

Singapore

On-site

SGD 90,000 - 150,000

Full time

14 days+
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Job summary

ByteDance seeks a data engineering professional to lead the Global Payment data flow and streaming data initiatives. You will work on building scalable data services and ensure accurate, real-time analytics for payment platforms across TikTok and related services.

Ideal candidates have strong programming skills (C/C++, Java, Python), solid data fundamentals, and experience with big data tools. This role emphasizes data quality, governance, and collaboration with cross-functional teams to unlock

Qualifications

  • Bachelor's degree in CS, Statistics, Mathematics or related majors.
  • Familiar with Linux operating system and development environment.
  • Solid fundamentals in data structures and operating systems.
  • Proficient in at least one programming language (C/C++, Java, Python).
  • Sensitive to data, meticulous and conscientious, with ability to identify data-driven problems.

Responsibilities

  • Oversee data flow and data service construction for ByteDance's global payments.
  • Address ultra-large-scale data issues, processing billions of incremental user data daily.
  • Manage real-time transmission, cleaning, conversion, and calculation of streaming data; provide efficient external query services.
  • Contribute to data governance to improve usability and quality of data.
  • Understand business requirements and translate them into data-driven solutions in collaboration with business teams.

Skills

Programming languages
Linux
Data fundamentals
Data-driven mindset

Education

Bachelor's degree in CS/Statistics/Math

Tools

Hadoop
Spark
Kafka
Hive
Elasticsearch

Job description

ByteDance seeks a data engineering professional to lead the Global Payment data flow and streaming data initiatives. You will work on building scalable data services and ensure accurate, real-time analytics for payment platforms across TikTok and related services.

Ideal candidates have strong programming skills (C/C++, Java, Python), solid data fundamentals, and experience with big data tools. This role emphasizes data quality, governance, and collaboration with cross-functional teams to unlock

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