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Data Engineer Interview Questions
Data Engineer Interview Questions
Le data engineer est un professionnel de l’informatique présent dans presque tous les secteurs. Il/Elle suit l’évolution et les tendances des données pour orienter les stratégies futures de l’entreprise. Une part essentielle de son travail consiste à transformer des données brutes en données exploitables en créant des pipelines et des systèmes de données.
Questions d'entretien d'embauche fréquentes pour un data engineer (H/F) et comment y répondre
Question 1 : Décrivez en détail votre niveau d’expertise en langage de programmation.
Question 2 : Expliquez selon vous en quoi consiste le data engineering.
Question 3 : Quelle est votre expérience en gestion de données dans le cloud et avec Apache Hadoop ?
20,258 data engineer interview questions shared by candidates
Q: They asked about Joins in SQL
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.
What is the Data Modeling?
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.
Favorite model in Machine learning?
Technical questions for freshers about computer programming and how it is applicable?
Hackerrank medium, explain the tradeoffs of microservices etc.
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.
Which Python libraries do you have experience using? Please be specific.
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