Data Development Engineer - Global Payment - Singapore

ByteDance

Singapore

On-site

SGD 90,000 - 140,000

Full time

14 days+

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Job summary

ByteDance's Global Payment Data Intelligence team seeks a data-focused professional to own data flow and services for the global payments ecosystem. You will address ultra-large-scale data, processing billions of events daily, and ensure real-time transmission, cleaning, and efficient query services for external use.

You will work on data governance, improve data usability, and closely collaborate with business teams to translate complex requirements into robust data solutions.

Qualifications

  • Bachelor degree or above in CS, Statistics, Mathematics or related majors.
  • Familiar with Linux operating system and development environment.
  • Solid computer fundamentals (data structures, OS, etc.).
  • Proficient in C/C++, Java, Python.
  • Sensitive to data, meticulous, and able to identify problems from data.
  • Experience with open-source projects or ACM competitions is a plus.
  • Familiar with big data tools/frameworks (Hadoop, Spark, Kafka, Hive, etc.).

Responsibilities

  • Responsible for the data flow and related data service construction of ByteDance's global payment business.
  • Address ultra-large-scale data issues, processing hundreds of billions of incremental user data daily.
  • Handle real-time transmission, cleaning, conversion and calculation of streaming data and provide efficient query services.
  • Participate in data governance to improve data usability and quality.
  • Collaborate closely with business teams to understand requirements and translate them into data solutions.

Skills

Linux
C/C++/Java/Python
Data fundamentals

Education

Bachelor degree in CS/Math/Stats

Tools

Hadoop
MapReduce
Hive
Spark
Kafka
Elasticsearch
HBase
Druid
Storm

Job description

About Global Payment

The Global Payment team of ByteDance provides payment solutions - including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, and so on to ensure that our users have a smooth and secure payment experience on ByteDance platforms including TikTok.


The Data Intelligence team in Global Payment leads the efforts of discovering data-driven business values for Global Payment, by collecting, visualising and mining generated data from the pipeline of the whole Global Payment system. The outcomes include optimising the key business metrics, improving Global Payment products and user experiences, risk management through data intelligence, predicting the trends from historical data, etc.


Responsibilities


  • Responsible for the data flow and related data service construction of ByteDance's global payment business.

  • Addressing ultra-large-scale data issues, processing hundreds of billions of incremental user data daily.

  • Responsible for the real-time transmission, cleaning, conversion, and calculation of streaming data, and providing efficient query services externally.

  • Participate in data governance work to improve data usability and quality.

  • Deeply understand and reasonably abstract business requirements, leverage data value, and cooperate closely with business teams.


Qualifications

Minimum Qualifications



  • Bachelor degree or above in Computer Science, Statistics, Mathematics or other related majors.

  • Familiar with Linux operating system and development environment.

  • Possess 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.


Preferred Qualifications



  • Experience in open-source project research or contribution.

  • Participated in ACM or other software development competitions.

  • Familiar with one or more of the big data processing tools/frameworks, including but not limited to: Hadoop, MapReduce, Hive, Storm, Spark, Druid, Kafka, HBase, Elasticsearch, etc.

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