Top3 brand names with their average pieces more than $3 and having atleast 2 products.
Data Engineering Interview Questions
20,956 data engineering 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?
Viewing 171 - 180 interview questions