Global Payments Data Platform Engineer

Bytedance

Singapore

On-site

SGD 110,000 - 170,000

Full time

2 days ago
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Job summary

ByteDance's Global Payment data team seeks a data professional to join the Data Intelligence group. You will work on dataflow construction for ByteDance's global payments, sinking into hundreds of billions of events daily to keep our platform accurate and fast.

You will collaborate with business teams to translate requirements into data solutions, apply governance practices, and leverage open-source tools to deliver reliable analytics and insights that improve risk management and user

Qualifications

  • Bachelor degree or above in CS/Statistics/Math or related majors.
  • Familiar with Linux OS and development environment.
  • Solid computer fundamentals (data structures, operating systems, etc.).
  • Proficient in any one programming language such as C/C++, Java, Python.
  • Sensitive to data, meticulous and conscientious, with the ability to identify problems from data.

Responsibilities

  • Manage data flow and data service construction for ByteDance's global payment.
  • Address ultra-large-scale data issues, processing hundreds of billions of incremental user data daily.
  • Real-time transmission, cleaning, conversion and calculation of streaming data, with efficient external queries.
  • Participate in data governance to improve data usability and quality.
  • Understand business requirements, leverage data value, and cooperate with business teams.

Skills

Linux
Data structures
Operating systems
C/C++
Java
Python

Education

Bachelor degree or above in CS/Statistics/Mathematics

Tools

Hadoop
MapReduce
Hive
Storm
Spark
Druid
Kafka
HBase
Elasticsearch

Job description

ByteDance's Global Payment data team seeks a data professional to join the Data Intelligence group. You will work on dataflow construction for ByteDance's global payments, sinking into hundreds of billions of events daily to keep our platform accurate and fast.

You will collaborate with business teams to translate requirements into data solutions, apply governance practices, and leverage open-source tools to deliver reliable analytics and insights that improve risk management and user

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