Candidatei-me online. Fiz uma entrevista na empresa Educatly.
Entrevista
The interview process was frustrating from start to finish. Communication was slow, and I often had to follow up just to know the next step. The scheduling kept changing at the last minute, which made it hard to prepare. The technical interview included vague and unrelated questions that didn’t seem connected to the role. The managerial round felt rushed, with little opportunity to discuss my experience in depth. There was no constructive feedback at any stage, and the whole process felt unorganized and unnecessarily drawn out.
Candidatei-me pessoalmente. O processo levou 5 dias. Fui entrevistado pela Educatly (Cairo, ) em set. de 2022
Entrevista
It was a good interview process, culture then technical interview, I received a call from a previous HR that I got accepted for intern position and prepared moving to Cairo then he stopped responding, and they cancelled everything.
Perguntas de entrevista [1]
Pergunta 1
Basic Ruby and ruby on rails questions, like what is MVC in Rails.
Candidatei-me por indicação de um funcionário. O processo levou 2 semanas. Fui entrevistado pela Educatly (Cairo, ) em jan. de 2022
Entrevista
The interview process for the Data Engineer Internship typically consists of three main stages:
Initial Screening (15–20 minutes)
Conducted by a recruiter or hiring manager, this is a brief phone or video call to discuss the candidate’s background, interest in the role, and availability. The interviewer may ask about basic technical knowledge and motivation for applying.
Technical Assessment (60–90 minutes)
Candidates complete a take-home assignment or participate in a live coding session. This typically involves working with data manipulation tasks, SQL queries, basic Python scripting, and understanding of ETL concepts. The goal is to assess problem-solving skills, code quality, and data handling ability.
Final Interview (45–60 minutes)
A behavioral and technical interview with one or more team members. This may include:
A walkthrough of the technical assessment.
Questions about past projects or coursework.
Discussion on data pipelines, databases, and cloud technologies.
An opportunity for the candidate to ask questions and learn more about the team and company culture.