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Big Data Engineer

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Big Data Engineer in Others

  • ByteDance
  • Full time
  • Email
  • Singapore, Singapore

Responsibilities

  • Design and implement offline data architectures for large-scale recommendation systems.
  • Build flexible, scalable, stable, and high-performance storage and computing systems.
  • Troubleshoot production systems and implement mechanisms and tools that improve operational stability.
  • Develop distributed storage and computing systems for massive data and large-scale business workloads.
  • Optimize online services, offline data flows, system performance, bottlenecks, and infrastructure costs.
  • Apply data mining, data modeling, natural language processing, and machine learning to extract insights from large datasets.
  • Visualize, interpret, and report data findings, including through dynamic data reports.

Requirements

  • Bachelor’s degree or higher in computer science, software engineering, or a related field.
  • At least 3 years of relevant experience.
  • Familiarity with big data frameworks including Hadoop, Hive, Flink, FlinkSQL, Spark, Kafka, HBase, Redis, RocksDB, and ElasticSearch.
  • Familiarity with Java, C++, and other programming languages.
  • Strong coding and troubleshooting abilities.
  • Enthusiasm for learning new technologies and tackling complex problems without obvious solutions.
  • Petabyte-scale data processing experience is preferred.

ByteDance

ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This...

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