Candidatei-me online. O processo levou 2 meses. Fui entrevistado pela Databricks em fev. de 2019
Entrevista
All interviews conducted via phone only, no video. First scheduled interviewer missed the call. Rescheduled call for following week, then another one with another person a week later. Spent an entire Saturday doing a coding assignment. Two additional interviews after that. Company ghosted me after that and did not respond to tell me that the process was not moving forward. All interviews conducted by men. Was clearly not a good fit for me.
Perguntas de entrevista [1]
Pergunta 1
Have you scripted APIs? How would you segment customers?
Generic questions about the profile, experience. I guess they are looking for specialist ins specific areas rather than generalists. They asked me about specific data areas expertise in data and analytics spce
Perguntas de entrevista [1]
Pergunta 1
Tell me about your Experience in data and analytics
Candidatei-me por meio de recrutador(a). Fiz uma entrevista na empresa Databricks.
Entrevista
5 interview rounds including a multi-day take home case study and recruiter never took the time to notify me I didn't get the job. Unprofessional and disrespectful. 1. Recruiter Screen 2. Hiring Manager Screen 3. Technical Screen 4. Technical take home (Coderpad, SQL) 5. Data analysis/Modeling case study with panel presentation
Perguntas de entrevista [1]
Pergunta 1
Analyze/Build a model with this dataset and present results to panel.
Candidatei-me online. O processo levou 4 semanas. Fui entrevistado pela Databricks em dez. de 2022
Entrevista
The interview process is long, but very well organized and fair. The expectations for each interview are communicated clearly and every interviewer was very polite and honest. If I had to design an interview process in the future I would use the process I went through here as a template.
Perguntas de entrevista [1]
Pergunta 1
The interview questions are very fair. you do not need previous knowledge of databricks to pass, but review concepts on data science/ML, big data, data management, cloud and programing skills with python/sql.