Snowflake Computing | San Mateo, CA (ONSITE) | Full-time | https://www.snowflake.net/about/careers/#open-positions
Snowflake is the data warehouse built entirely for the cloud. Our Data and Analytics team is hiring two positions:
1. Data Engineer: https://jobs.lever.co/snowflake/352fc68f-e825-47cd-9f2f-d796...
We're looking for an experienced Data Engineer who has built production-grade, large-scale data pipelines. The person will be the first dedicated Data Engineer on our team, and have an opportunity to architect and implement a number of pipelines into our data warehouse (Snowflake, naturally), as well as pipelines from the warehouse into core business systems.
2. Data Scientist: https://jobs.lever.co/snowflake/ca490b99-54c7-4041-9a0d-7edf...
We're look for a seasoned Data Scientist who has real-world experience building and deploying models in mission-critical production settings. The lion's share of our near-term projects are unsupervised or semi-supervised learning problems; we also have a lot of time-series analysis projects. We have a lot of interesting use cases around operational optimization—e.g., anomaly detection, forecasting server demand, adding intelligence to the automation of server provisioning, etc. There are opportunities for customer-facing features as well.
Languages we like: SQL, Python, R, Java, Scala, and Ruby. Tools we like: Snowflake, Airflow, Docker, Spark, AWS Lambda, Alooma, Fivetran, and Looker.
The interview process:
1. Review application.
2. 30-minute conversation with hiring manager (Director of Data and Analytics => https://www.linkedin.com/in/scottdhoover/).
3. 45-minute SQL coding session over the phone (we're a database company—strong SQL and RDBMS understanding is essential).
4. Take-home coding project (either example pipeline for Data Eng. or analysis for Data Sci.). Should take no more than a couple of hours.
5. On-site with representatives from the Data team, Engineering, DevOps, and Product.