The Data Architect Lead was condescending, disrespectful and overall made the entire experience awkward simply because I was unfamiliar with some particular areas, so he simply did not need to ask me technical questions any further. It's also quite inconsiderate to state, "What's so hard about that? Why was that even impressive to you?" when I am explaining my projects or background. His final question of, "What do you want to be when you grow up?" said sarcastically is not a professional question for a woman of color with 7+ years of experience. This was an uncomfortable conversation that was quite condescending. After that one encounter, I no longer wanted this role and I no longer wanted to work for Pie. Good luck to any women applying in engineering here.
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 ?
20,261 data engineer interview questions shared by candidates
Any alteration requests for the process
Give me an example of project you worked on.
How would you approach solving a business problem by implementing a full AI project lifecycle?
task to do an analaysis
TECH R-1
What level of experience do you have in PreSales?
What would you do, if you needed help regarding certain issue?
They asked me about my background and the tools I'm familiar with. Specifically, they inquired about my experience with Kafka and Flink, as well as if I'm used to handling terabytes of data.
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