BIGO · 2 days ago
Big Data Engineer - Advertising Attribution
BIGO is a company focused on advertising technology, and they are seeking a Big Data Engineer to build and maintain their advertising attribution system. The role involves optimizing attribution models and handling big data tasks to enhance ad delivery ROI and drive technical business breakthroughs.
Artificial Intelligence (AI)Business DevelopmentInternetSocial MediaSoftwareVideo Streaming
Responsibilities
Primarily responsible for building and maintaining the advertising attribution system, optimizing attribution models to help the advertising platform accurately evaluate the contributions of various channels and touchpoints, thereby improving ad delivery ROI
Additionally, involved in big data-related tasks, including data desensitization, data layering, data mining, and more
Drive business breakthroughs from a technical perspective to generate greater value for the department
Qualification
Required
Solid programming skills with a strong foundation in data structures and algorithms, excellent logical reasoning, and learning abilities
Proficient in at least one of the following programming languages: C++, Java, Golang, or Python; with 3+ years of development experience in medium-to-large-scale production projects
Familiar with attribution models and the advertising ecosystem (DSP/SSP, RTB); knowledgeable about third-party attribution, self-attribution, and other attribution modes
Proficient in big data technologies (e.g., Spark, Hadoop, Flink, Kafka, Hive) with strong SQL skills; experience in real-time stream processing, data modeling, and ETL pipelines; familiarity with machine learning frameworks
Candidates with development experience in internet advertising systems or anti-fraud mechanisms will be prioritized
Company
BIGO
BIGO Technology (BIGO) is one of the fastest-growing Singapore technology companies, with more than 30 offices and 6 R&D centres around the world.
Funding
Current Stage
Late StageTotal Funding
$272MKey Investors
JOYYPing An Overseas Holdings
2019-03-04Acquired
2018-06-05Series D· $272M
2017-03-07Series C
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