Senior/ Data Engineer - Data Platform

European/ Asian Timezone (remote friendly)

Full Time Senior-level / Expert
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GoodNotes
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Posted 1 month ago

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.
Job tags: Airflow AWS Big Data Data pipelines Engineering Java Kafka Kubernetes Machine Learning ML Python Research Scala Spark SQL
Job region(s): Asia/Pacific Europe Remote/Anywhere
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