I feel truly fortunate, humble, and inspired as a result of finally getting to know what it feels like to be part of a culture and witness leadership that very simply and very genuinely cares about you as a human being and the shared mission of the company.
SAs are generally known to have arduous and long working hours. These are not mandates, and my manager has never once asked me to work beyond regular hours. However, the work can be extremely exciting and rewarding in and of itself, which can still lead to an extraordinary amount of work to do.
Thanks for a once-in-a-lifetime adventure. Please keep it up.
Long and fair process. Recruiters and hiring managers were prompt and provided guidance throughout the process. The process started with a hiring manager interview, then a technical round with an SA, a take-home assessment on Python, SQL, etc., a p
The hiring process involved a few different rounds, including interviews with the hiring manager and technical interviews, as well as a coding exam. The questions seemed to be fairly standard, focusing on Databricks and previous experience. The team
Bright folks at all stages. The interview is not easy, but help is provided if you ask. 1. Call with recruiter. 2. Talk to the hiring manager. 3. Technical round. 4. Take-home test, covering Data Engineering/Science, ML, and SQL analytics. 5. Interv
Long and fair process. Recruiters and hiring managers were prompt and provided guidance throughout the process. The process started with a hiring manager interview, then a technical round with an SA, a take-home assessment on Python, SQL, etc., a p
The hiring process involved a few different rounds, including interviews with the hiring manager and technical interviews, as well as a coding exam. The questions seemed to be fairly standard, focusing on Databricks and previous experience. The team
Bright folks at all stages. The interview is not easy, but help is provided if you ask. 1. Call with recruiter. 2. Talk to the hiring manager. 3. Technical round. 4. Take-home test, covering Data Engineering/Science, ML, and SQL analytics. 5. Interv