Big Data Engineer, Ecommerce Recommendation Infrastructure (ByteDance Singapore)

ByteDance
Singapore
Workplace: OnsiteFull timeFunction: Product ManagementEducation: bachelorsSkills: ["Troubleshooting"]

Build and optimize infrastructure for large-scale ecommerce recommendation systems, covering offline data architecture, high-performance storage and computing, and online service reliability. You’ll troubleshoot production systems, reduce bottlenecks and cost overhead, and create distributed data/service mid-platform capabilities. Work with applied machine learning engineers to develop analytics and data mining pipelines that turn structured and unstructured data into actionable insights, including reporting and visualization.

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FursaFursa
ByteDance
ByteDance
1 month ago

Big Data Engineer, Ecommerce Recommendation Infrastructure (ByteDance Singapore)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 30 days agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build and optimize infrastructure for large-scale ecommerce recommendation systems, covering offline data architecture, high-performance storage and computing, and online service reliability. You’ll troubleshoot production systems, reduce bottlenecks and cost overhead, and create distributed data/service mid-platform capabilities. Work with applied machine learning engineers to develop analytics and data mining pipelines that turn structured and unstructured data into actionable insights, including reporting and visualization.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Product Management

Key Responsibilities

  • •Design and implement offline data architecture for large-scale recommendation systems.
  • •Design and implement flexible, scalable, stable, high-performance storage and computing systems.
  • •Troubleshoot production systems and build mechanisms/tools to ensure operational stability.
  • •Build distributed systems (storage and computing) to support massive data and large-scale business systems.
  • •Develop analytics applications and transform raw structured/unstructured data into meaningful information, including visualization and reporting.

Key Requirements

  • •Bachelor’s degree or above in computer science, software engineering, or a related field.
  • •Familiar with open-source big data frameworks such as Hadoop, Hive, Flink, FlinkSQL, Spark, Kafka, HBase, Redis, RocksDB, and Elasticsearch.
  • •Familiar with Java, C++, and other programming languages.
  • •Strong coding and troubleshooting ability.
  • •Work on building and optimizing infrastructure for large-scale recommendation systems.
Experience:EcommerceRecommendation systemsBig dataMachine learningDistributed systems
Education:Bachelor's in computer science, software engineering, or a related field
Skills:Troubleshooting
Tech Stack:HadoopHiveFlinkFlinkSQLSparkKafkaHBaseRedisRocksDBElasticsearchJavaC++Natural language processingMachine learningData miningData modeling

Company Brief

ByteDance
Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Beijing, China
Founded: 2012
WebsiteLinkedIn