GoodNotes believes that data is key to predicting and shaping the future. We are looking for a data engineer with strong business sense who loves getting to the bottom of things to ensure that we are making good use of data we already have and yet have collected, hence empower us to make better decision in all manners of the company.
What you will achieve in this role
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.
What you need to be successful
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.
We don't expect you to be a degree holder as we value experience over qualifications.
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.
