Top3 brand names with their average pieces more than $3 and having atleast 2 products.
Data Engineer Interview Questions
Data Engineer Interview Questions
Data engineers zijn IT-professionals en zijn in bijna elke bedrijfstak nodig. Data engineers volgen gegevenstrends voor het vaststellen van de beste vervolgstappen voor bedrijven. Een cruciaal onderdeel van het werk van een data engineer bestaat uit het verwerken van ruwe gegevens tot bruikbare gegevens door datapipelines te creëren en gegevenssystemen te bouwen.
Meest gestelde sollicitatievragen voor een data engineer (M/V/X) en hoe te antwoorden
Vraag 1: Kunt u tot in detail uw kennisniveau van programmeertalen omschrijven?
Vraag 2: Leg in uw eigen woorden uit wat data engineering inhoudt.
Vraag 3: Kunt u uw ervaring met Apache Hadoop en databeheer in een cloudomgeving beschrijven?
20,956 data engineer interview questions shared by candidates
What is the term used to select non duplicates in SQL?
They answered no questions I sent over and sent my own questions back to me. So that was mighty pathetic too.
in the phone interview: - pretty basic python algorithm question. Having read the others here, I assumed I'd get pitched a softball and then a harder question. I was able to solve it within the first several minutes, but spent the rest of the session trying to optimize the solution. - some basic SQL questions on joins and such. I answered probably 5 or 6 questions. Both of these interviews seemed like minimum bar screens. For the in-person interview: - more difficult python question and had to code on a white board. It was a pretty simple sorting question that was easy to solve but less trivial to optimize. - more difficult SQL questions. I struggled here but I was a bit weaker in SQL so I figured as much. This progressed into dashboard design. - Lunch was at a cafe on campus and delicious. Interviewer was just asking me about work experience and culture and it seemed just like a general personality compatibility test. - Full Stack interview was my favorite part and a lot of fun. Without giving too much away, I was given a realistic problem and tasked with conceptualizing the solution in real time, from start to finish, on a white board. It was a mix of coding and conceptual and seemed to be meant to test product sense.
phone screen for SQL: Give data model - solve various SQL questions Python: list and dict manipulation
SQL analytical queries. Python basic programming.
Write a query that returns percentage of unsold product_category.
Find common words in 2 sentences
Compute the median of a list. Compute it in an optimal way if I keep increasing the size of the list.
What is a challenge the data industry faces?
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