Candidatei-me por meio de recrutador(a). Fui entrevistado pela EPAM Systems em fev. de 2026
Entrevista
The job posting I applied to was almost certainly a PERM ad designed to prevent American applicants from applying to their American branch. Firstly, the job description listed "Bachelor's Degree or 3 years relevant experience". It also listed knowledge of data and AI techniques, but virtually no responsibilities or other info.
The interview claimed I needed to have 10+ years of experience, as well as data bricks knowledge (which was also not listed in any requirements). The interview lasted 15 total minutes.
Perguntas de entrevista [1]
Pergunta 1
Do you know Python, SQL, or other programming languages?
Do you know databricks?
Candidatei-me online. O processo levou 1 dia. Fiz uma entrevista na empresa EPAM Systems.
Entrevista
A recruiter reached out to me on LinkedIn and invited me to interview, which at first seemed genuine and professional. The conversation was in English, focused on my background and skills, and they even showed me a few potential roles to discuss which one I preferred. This gave me the impression that I would likely move forward in the process.
However, by the end of the interview, I was told my skills weren’t enough and that they might contact me in the future if a more suitable role opened up. They never followed up, yet the same positions keep being reposted. It left me wondering why they contacted me in the first place if only to say I wasn’t enough for the role. Overall, it felt more like a ghost posting than a job offer that I was really expecting.
Perguntas de entrevista [1]
Pergunta 1
They asked me to describe my background, skills, and which of the roles they presented I thought was the best fit.
Phone interview with HR, online technical test, which included many detailed questions about data science, and a technical interview, which took 1.5 hours with detailed questions. It was time-consuming, and they ghosted me.
Perguntas de entrevista [1]
Pergunta 1
Theoretical questions about machine learning algorithms