Data Architect for Large-Scale Recommendation Systems
19 hours ago
We are seeking a seasoned Data Architect to lead the development of our recommendation system. This is an exceptional opportunity to leverage your expertise and passion for building scalable, stable, and high-performance recommendation systems.
Key Responsibilities- Design and implement offline data architectures for large-scale recommendation systems
- Design and implement flexible, scalable, stable, and high-performance storage and computing systems
- Trouble-shoot production systems and design necessary mechanisms and tools to ensure overall operation stability
- Develop industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems
- Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets
- Visualize, interpret, and report data findings and create dynamic data reports
- Bachelor's degree or above in Computer Science or related fields with at least 3+ years of experience
- Familiarity with open-source frameworks in big data, e.g., Hadoop, Hive, Flink, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch
- Experience in programming languages such as C, C++, Java, or Golang
- Effective communication skills and a sense of ownership and drive
- Peta Byte level data processing experience is a plus
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