J'ai postulé en ligne. Le processus a pris 7 semaines. J'ai passé un entretien chez Datadog (New York, NY) en févr. 2020
Entretien
Amazing interview process - very professional, considerate, and informative.
Applied online. Started with a phone screen from the technical recruiter who did an outstanding job in explaining the company, team, and role. Continued to a phone interview, a take home assessment, and an on-site. The technical interviews and assessment were fair and challenging. It was also important to be able to talk in depth about personal projects, but the interviewers seemed genuinely interested so this made it easy. One of the interviews was behavioral which gave both sides a good chance to evaluate the culture fit. There was also sufficient time during the interviews to ask any question and receive a detailed response.
Throughout the whole process, everyone was very kind, thorough, and responsive. They were considerate of my time constraints and offer deadlines and moved very quickly.
Questions d'entretien [1]
Question 1
I interviewed for the Data Science org. It was important to have knowledge in both Data Science (ML and data analyses) and software engineering (used Leetcode to prepare for interviews).
One knowledge interview and one technical interview afterwards. Knowledge was fine. During the tech one, the interviewer was not listening. The problem was a standard one. Got rejected after second round.
Questions d'entretien [1]
Question 1
Knapsack problem with coins, solved via dynamic programming
Screening RH, qui mentor durant le process, puis deux rounds, le deuxième avec 4 test différents. Bon feedback tout du long. C'est fluide et le RH est là pour aider à préparer les sujets.
El proceso constó de tres fases principales. Primero, apliqué online a un puesto de trabajo disponible. Posteriormente, pasé a una entrevista técnica de aproximadamente una hora, enfocada principalmente en el desarrollo, integración y securización de APIs. También discutimos estrategias de despliegue, monitorización y gestión de recursos en la nube utilizando el ecosistema de Azure. Por último, realizamos un ejercicio conversacional sobre buenas prácticas de código y arquitectura. Fue un proceso fluido y el equipo fue muy profesional.
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