Canopy
GoodNotes (HK)

GoodNotes (HK)- Senior/ Data Engineer - Growth

Senior Level
Hong Kong
Senior/ Data Engineer - Growth
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About Us

GoodNotes was created from our founder's frustration of taking readable and reusable notes on his first iPad. We have since grown to millions of happy users and have been featured on Apple's marketing materials. Our engineering team members are all full stack, Pi-shaped, and most importantly product minded.


Who we're looking for

GoodNotes (HK) is looking for a Senior/ Data Engineer - Growth to join the team!

What you will be doing
  • Design and build the data architecture for the data which powers our business.
  • Design and build the architecture and schemas for the tables and architect them to be extendable, testable, maintainable and debuggable, in a massive and scalable way.
  • Design and build our data models for optimal storage and retrieval and to meet critical product and engineering requirements.
  • Develop and automate large-scale, high-performance data processing systems (batch and/or streaming) to support GoodNotes’ business growth and internal data platform.
  • Understand logging and how it impacts the rest of our data flow, architect and use logging best practices where needed.
  • Help evangelize high-quality software engineering practices towards building data infrastructure and pipelines at scale.
Who you are
  • Comfortable in SQL and proficiency in one of the programming languages such as Python, Java, Scala, etc.
  • Experienced in designing and implementing modern data infrastructure on AWS or GCP, such as large-scale data lake, data warehouse, BI projects, or AI and ML platform.
  • Experienced in managing clusters for data processing or analytics, such as AWS EMR, Google Dataproc, Kubernetes, etc.
  • Experienced in processing structured, semi-structured, and non-structured data by applying various data technologies.
  • Experienced in monitoring data architecture — architecting logging best practices where needed.
  • Experienced with big data analytics tools such as Hadoop, Spark, Flink, Kafka, ELK, etc.
  • Experienced in performance tuning skills, e.g., storage planning, caching, index design, data partitioning, MPP, etc.
  • Knowledge in infrastructure and configuration as code.
  • Knowledge in machine learning and data science.

What else would help you, but not required

  • Knowledge of machine learning algorithms
  • Ability to create innovative metrics
  • Experienced in manipulating TB-scale datasets.
What we offer
  • You'll receive competitive compensation and meaningful equity along with a chance to make significant contribution to a product people already love.
  • Most of our positions are eligible for remote work, provided you have at least 3 hours of overlap with the team in the office every weekday between 10 AM and 6 PM. Please indicate your preference in your application form.
  • You're also welcome to join us in our Hong Kong or London office, we can sponsor visas and support relocations.
  • We take care of you and your loved ones with medical insurance and flexible working hours.
  • Join our best company tradition, the annual off-site. Check out our pictures from team outings and more on our Instagram.


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