38% 1-Year Employee Growth Rate | 260% 2-Year Employee Growth Rate | LinkedIn | $0 Venture Funding

What Is Employee Growth Rate & Why Is It Important?

Our Core Values:
• Users come first
• Build a better product, not just different
• Do less but get more done
• Always be learning
Are you keen on building more than just Data pipelines? Shape GoodNotes’ entire Data Strategy and tooling! You will contribute to a variety of initiatives and technologies such as analytics, ML modeling, tooling, services, and more, within a team of ML Experts passionate about knowledge sharing.
What you will achieve
  • Help democratize data and make it broadly available within GoodNotes internally and to our users around the world.
  • Design and build robust infrastructures and tools for collecting and processing data using batch and stream processing frameworks.
  • Collaborate with ML, MLOps, and QA teams to identify opportunities to improve our data architectures
  • Help evangelize high-quality software engineering practices towards building data infrastructure and pipelines at scale
  • Continuously improve the development practices through research, automation, documentation, and testing
  • Share your knowledge and experience with the rest of the team
What you need to be successful
  • Experience building highly available and scalable data infrastructures on AWS or other cloud providers
  • Experience in performance tuning skills such as storage planning, caching, index design, data partitioning, etc.
  • Deep understanding of data architectures and schema design
  • Comfortable in writing SQL and DataFrame APIs
  • Mastery in at least two programming languages: Java/Scala/Kotlin and Python
  • Experience with data workflow management platforms such as Airflow, Dagster, Prefect etc.
  • Hands-on experience building data pipelines using one or more of the following big data frameworks or services: Spark, Kafka, Flink, Druid, ClickHouse, and ELK stack
  • Strong understanding of computer science fundamentals and a solid background in software engineering
What else would help you, but not required
  • Knowledge in machine learning and data science
  • Experience with Kubernetes, Docker, Terraform or other cluster management solutions on AWS or other cloud providers
Apply Now:
• You’ll receive a 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 sponsor visas and relocations.
• We take care of you and your loved ones with medical insurance and flexible working hours including two optional work-from-home days!
• Join our best company tradition, the annual off-site. Check out our pictures from team outings and more on our Instagram.

Tagged as: >100% 2 Yr Employee Growth, 11-50 Employees, Hide US-Only Jobs

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