I applied through a recruiter. I interviewed at McKinsey & Company
Interview
I interviewed for the Data Engineer role at McKinsey after being contacted by a recruiter through LinkedIn.
The first round was a technical interview covering Python, PySpark, and SQL. The questions were of medium-to-hard difficulty, and I successfully cleared this stage.
The second round was scheduled within two weeks and focused on problem-solving and a Personal Experience Interview (PEI). I felt that I performed well and was hopeful of progressing to the next stage.
Unfortunately, after that round, I did not receive any communication or feedback for almost a month. Eventually, I got a rejection mail. While I fully respect the selection process, I believe timely communication is important for candidates. If my performance was not up to expectations, an earlier update would have been more professional and considerate.
Overall, while the interviews themselves were structured and professional, the lack of timely communication left me disappointed with the process.
Interview questions [1]
Question 1
Technical round-Questions on SQL, Python Pyspark, projects I had worked on...
Behavioural round- case study problem statement + one personal experience question
I applied online. I interviewed at McKinsey & Company
Interview
Amazing process, first round was a leetcode style take home assignment. Followed by a case interview (technical and behavioral). Lots of communication from the recruiter and interviewers. All and all very impressed even though I was not offered a position.
I interviewed at McKinsey & Company (Lisbon, Lisbon District)
Interview
Entrevista técnica para produtos internos, envolveu um consultor e um engenheiro de dados sênior. Não houve prova de código, mas foram à fundo em conceitos para tentar entender o meu nível enquanto candidato
Interview questions [1]
Question 1
Qual o seu nível de conhecimento de Docker? Em que situações utilizou?