Data Engineer, Product Mid

Notion · jobs.ashbyhq.com · checked today San Francisco, California Mid 5+ yrs Data Engineer posted 2 d ago Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Skills, with evidence with a passion for analytics, data modeling, and solving complex problems must have Python Highly comfortable with object-oriented programming (Python, Java, Scala) must haveSQL SQL expert, proficient with aggregation, window functions, UDFs, self-joins, and optimization techniques for writing correct, high-performance queries must haveAWS Strong understanding of scalable cloud data solutions (AWS, GCP, Azure) across multiple data stores must have · not practised here Strong understanding of scalable cloud data solutions (AWS, GCP, Azure) across multiple data stores must have · not practised hereGCP Strong understanding of scalable cloud data solutions (AWS, GCP, Azure) across multiple data stores must have · not practised here Airflow / orchestration Hands-on experience designing and building highly scalable, reliable data pipelines using BigData stack tools (e.g., Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift)- Implement automated workflows that reduce operational costs, define SLAs for timely data delivery, and democratize data through self-serve dashboards, discovery tools, and AI-enabled exploration- Hands-on experience designing and building highly scalable, reliable data pipelines using BigData stack tools (e.g., Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift) Spark - Hands-on experience designing and building highly scalable, reliable data pipelines using BigData stack tools (e.g., Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift)- Implement automated workflows that reduce operational costs, define SLAs for timely data delivery, and democratize data through self-serve dashboards, discovery tools, and AI-enabled exploration not practised here Java - Highly comfortable with object-oriented programming (Python, Java, Scala) not practised here Scala - Highly comfortable with object-oriented programming (Python, Java, Scala) not practised here