Our Core Values:
- Users come first
- Build a better product, not just different
- Do less but get more done
- Always be learning
We want to make education and work more efficient and enjoyable, by providing the best digital paper solution possible. We plan to be the go-to tool for all forms of notes.
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 decisions in all manners of the company.
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.
Less experienced candidates will be considered as a "Data Engineer"