Ho presentato la mia candidatura tramite un selezionatore. Ho sostenuto un colloquio presso Cloudera (Budapest)
Colloquio
Several rounds of technical interviews, followed by a breakfast with engineering managers. I was in contact with a different recruiter at every phase, but it wasn't a problem as I got all the support I neeeded; they always informed me what's coming, and they always contacted me in a timely manner.
The employees that conducted the interviews were all really friendly and helpful. It is a big plus that they were not all longtime employess, so I could ask them about their recent experience about the onboarding process, for instance.
Ho presentato la mia candidatura tramite l'università. La procedura ha richiesto un giorno. Ho sostenuto un colloquio presso Cloudera (Manipal) nel mese di set 2025
Colloquio
It had 3 rounds. 2 technical and 1 managerial/technical. Both the technical rounds includes a DSA question each. First round they asked me solve the DSA question followed by the question I could solve in the OT.
Since my entire resume was ML based, all the rounds focused on ml fundamentals.
Ho presentato la mia candidatura tramite un'altra fonte. Ho sostenuto un colloquio presso Cloudera
Colloquio
three total rounds: Technical screen --> phone screen --> final round onsite; leetcode style questions and standard behavioral questions. Fast process and technical questions are framed with relevance to the work being done. Everyone was very friendly and helpful
Ho presentato la mia candidatura tramite l'università. Ho sostenuto un colloquio presso Cloudera
Colloquio
The test had 3 coding questions:
2 DSA
1 SQL
Ranging from moderate level to hard level
Time limit was 75 minutes.
SQL question: From the given table named product, with one column as product _id and another column as price, find the Second Highest Price product. Different products can have same prices.
Domande di colloquio [1]
Domanda 1
SQL question: From the given table named product, with one column as product _id and another column as price, find the Second Highest Price product. Different products can have same prices.
