A good place to work.
No cons on top of my head.
The interview process began with an initial phone test, followed by two face-to-face interviews. In both interviews, there was approximately half an hour dedicated to personal conversation about myself and past projects. From there, the interview co
One meeting: Showed my credentials and answered some questions on linear algebra and matrix multiplication. Discussed the advantages and disadvantages of data platforms like Snowflake and Databricks, and different providers' pipeline methods.
The interview consisted of two rounds back-to-back, which were pretty chill. They were mainly behavioral, but included some deep dive "grill" questions on past research experience. The role requires extreme familiarity with Power BI and data warehou
The interview process began with an initial phone test, followed by two face-to-face interviews. In both interviews, there was approximately half an hour dedicated to personal conversation about myself and past projects. From there, the interview co
One meeting: Showed my credentials and answered some questions on linear algebra and matrix multiplication. Discussed the advantages and disadvantages of data platforms like Snowflake and Databricks, and different providers' pipeline methods.
The interview consisted of two rounds back-to-back, which were pretty chill. They were mainly behavioral, but included some deep dive "grill" questions on past research experience. The role requires extreme familiarity with Power BI and data warehou