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Lead Data Engineer

2 months ago

Markham, Ontario, Canada Huawei Technologies Canada Co., Ltd. Full time

Job Summary

Huawei Technologies Canada Co., Ltd. is seeking a highly skilled and experienced Principal/Distinguished Engineer Data and AI to join our team. As a key member of our organization, you will be responsible for architecting and developing a next-generation data and AI system.

Key Responsibilities

  • Develop a deep understanding of the competitive landscape for data processing and serverless infrastructure in cloud environments.
  • Design and implement a framework or engine for the next-generation data and AI system, ensuring scalability, performance, and reliability.
  • Analyze user scenarios to optimize software system solutions, taking into account business requirements and technical constraints.
  • Stay up-to-date with industry trends and emerging technologies, such as parallel and distributed systems, large-scale data analytics, and serverless platforms.
  • Contribute to the development of innovative ideas and patent applications that drive business growth and customer success.

Requirements

  • Deep domain expertise in one or more of the following areas:
    • AI end-to-end data processing, scenarios, and system optimizations
    • Core database internals, including query optimization, runtime, scheduling, storage engine, transaction processing, and more
    • Large-scale data processing, including Flink, Spark, Presto, and other technologies
    • Big Data storage technologies, such as HDFS, Columnar Database, and more
    • Scalable Key-Value store, including Rocksdb, LevelDB, Redis, and more
    • Serverless platform infrastructure
  • Strong problem-solving skills and ability to learn quickly in a dynamic environment
  • Bachelor's degree in Computer Science, Electrical Engineering, or Telecommunications
  • Master's or PhD in a relevant area is an asset
  • Experience leading teams and products to generate business impact and customer success stories is an asset
  • Able to lead and mentor team members on design and technical skills, including data structures, multi-threading, concurrency, and performance optimizations