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Data Engineer Interview Questions

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Data Engineer Interview Questions

I Data engineer sono professionisti informatici richiesti pressoché in tutti i settori. Si occupano di monitorare i trend dei dati per pianificare le azioni più adeguate che un'azienda deve intraprendere. Uno degli aspetti più critici del lavoro di un Data engineer è l'elaborazione dei dati grezzi e la loro trasformazione in dati utilizzabili per creare pipeline e sistemi di dati.

Domande tipiche dei colloqui per Data engineer e come rispondere

Question 1

Domanda 1: Puoi descrivere in dettaglio il tuo livello di competenza nell'ambito dei linguaggi di programmazione?

How to answer
Come rispondere: Prima del colloquio, ripassa il tuo CV e/o portfolio e stila un elenco dei programmi che conosci meglio. Se scopri di non avere una buona conoscenza del programma usato in prevalenza nell'azienda, descrivi te stesso come una persona intraprendente e altamente motivata, che si impegnerà senza sosta per imparare a usare il programma.
Question 2

Domanda 2: Spiega a parole tue che cos’è il data engineering.

How to answer
Come rispondere: Analizza il tuo ruolo in relazione all'azienda e ad altri ruoli quali il data scientist, così da definire in modo chiaro il tuo contributo al sistema aziendale nel suo complesso. Spiega la differenza tra il ruolo di un ingegnere che lavora ai database e quello di un ingegnere che si occupa di pipeline.
Question 3

Domanda 3: Puoi descrivere un'esperienza lavorativa con Apache Hadoop e in ambienti di gestione dei dati nel cloud?

How to answer
Come rispondere: Per prepararti a questa domanda, fai le dovute ricerche sul software utilizzato dall'azienda, sui prodotti cloud per i dati e sull'uso di Apache Hadoop. I Data engineer devono avere un'ottima padronanza dei linguaggi di programmazione e dei sistemi di gestione dei dati utilizzati nel settore, quali Apache Hadoop.

20,233 data engineer interview questions shared by candidates

Hacker Rank 3: Oh surprise, more regex. (I'm just joking, I can't remember the title but let's called file processing). Given a text file containing network connections information (space separated) like this: something - - "GET something something" [another thing with spaces in the middle] 4500 where: something = first column - = second column - = third column "Get something...." = forth column and so on. The last column, 4500 represents the number of bytes transmitted. You need to filter the records where a number of bytes are bigger than 5000 and the sum of bytes of those records.
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Data Engineer

Interviewed at Kueski

3.7★
Sep 4, 2017

Hacker Rank 3: Oh surprise, more regex. (I'm just joking, I can't remember the title but let's called file processing). Given a text file containing network connections information (space separated) like this: something - - "GET something something" [another thing with spaces in the middle] 4500 where: something = first column - = second column - = third column "Get something...." = forth column and so on. The last column, 4500 represents the number of bytes transmitted. You need to filter the records where a number of bytes are bigger than 5000 and the sum of bytes of those records.

The minimum number of operations to reach a number using only incrementing and multiplying by 2 if you were to start from 0. Not so easy SQL question. Surprise regex and bash questions. The rest is easy multiple-choice questions based on data structures and OOP.
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Big Data Platform Engineer

Interviewed at PeakGames

3★
Mar 24, 2022

The minimum number of operations to reach a number using only incrementing and multiplying by 2 if you were to start from 0. Not so easy SQL question. Surprise regex and bash questions. The rest is easy multiple-choice questions based on data structures and OOP.

Combination of filler fake HR generic questions, describe an ideal day, what do you think about working remotely, then lots of detailed questions to find out what you know about various technologies, processes and what you would recommend. This is the part you need to be careful. I'd recommend frankly not interviewing with this company and finding ways to test them to see if they are seriously hiring.
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Data Engineer

Interviewed at InVision

3.8★
Nov 1, 2018

Combination of filler fake HR generic questions, describe an ideal day, what do you think about working remotely, then lots of detailed questions to find out what you know about various technologies, processes and what you would recommend. This is the part you need to be careful. I'd recommend frankly not interviewing with this company and finding ways to test them to see if they are seriously hiring.

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