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Big Data Engineer
BIGO technology is a mobile Internet company focused on live-streaming broadcast and VoIP
related product and services all over the world. Registered in Singapore since 2016, BIGO
Technology is the company behind BIGO LIVE.
As a big data engineer, you will be part of the recommendation team working on BIGO’s next-
generation recommender systems that will be driving all of our platforms such as BIGO LIVE,
LIKE & CubeTV etc.
Responsibilities:
• Build highly scalable and optimized data products/manage data sets via stream
processing.
• Build tools and frameworks that ensure highest quality of data, make data discovery
and data access easy for everyone at Bigo.
• Own the data products critical for product innovation and recommendation engines;
define and drive the adoption of data logging standards
• Partner with various Engineering teams, UI teams, Product Managers and data
scientist to understand the business context
Requirements:
• Strong hands-on coding experience in one or more programming languages (Scala,
Java, C++, etc…)
• Familiar with the mainstream distributed processing framework - Hadoop, hive, flink or
Spark programming.
• Excellent communication skills and teamwork skills.

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Big Data Engineer

  • 1. Big Data Engineer BIGO technology is a mobile Internet company focused on live-streaming broadcast and VoIP related product and services all over the world. Registered in Singapore since 2016, BIGO Technology is the company behind BIGO LIVE. As a big data engineer, you will be part of the recommendation team working on BIGO’s next- generation recommender systems that will be driving all of our platforms such as BIGO LIVE, LIKE & CubeTV etc. Responsibilities: • Build highly scalable and optimized data products/manage data sets via stream processing. • Build tools and frameworks that ensure highest quality of data, make data discovery and data access easy for everyone at Bigo. • Own the data products critical for product innovation and recommendation engines; define and drive the adoption of data logging standards • Partner with various Engineering teams, UI teams, Product Managers and data scientist to understand the business context Requirements: • Strong hands-on coding experience in one or more programming languages (Scala, Java, C++, etc…) • Familiar with the mainstream distributed processing framework - Hadoop, hive, flink or Spark programming. • Excellent communication skills and teamwork skills.