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 develop mechanisms and tools that improve operational stability.
- Build distributed storage and computing infrastructure for massive datasets and large-scale business systems.
- Develop analytics applications using data-oriented programming languages and visualization software.
- Apply data mining, data modeling, natural language processing, and machine learning to structured and unstructured datasets.
- Visualize, interpret, and report data findings, including creating dynamic data reports.
Requirements
- Bachelor's degree or above in computer science, software engineering, or a related field.
- Three or more years of related experience.
- Familiarity with big-data frameworks such as Hadoop, Hive, Flink, FlinkSQL, Spark, Kafka, HBase, Redis, RocksDB, and Elasticsearch.
- Familiarity with Java, C++, and other programming languages.
- Strong coding and troubleshooting ability.
Tech Stack
Categories
About 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 is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users. We have over 110,000 employees based in more than 30 countries globally. Join us.