Ho boy, where do I begin?
Management is trending towards the business perspective, where engineering is considered "manufacturing" and is therefore expendable/outsourceable.
Furthermore, if a request comes in for a meaty tech project for our engineers to participate in, it is immediately outsourced.
As a tech company, this is unacceptable. We have trained software engineers writing either shell scripts or SQL queries all day.
This makes our company values of "Innovation" and "One Team" ring hollow.
But hey, the stock price is going up, I guess.
Here are the five rounds for the data engineering interview: * Manager interview with high-level SQL coding * Python coding round - medium-level LeetCode * Data modeling round * Past projects/experience round * Cultural fit - with Senior M
The first round was about project experience, and I was asked to write SQL queries and some Unix commands. After five days, the second round started with a difficult SQL problem that I could not solve. I answered other questions well. Both rounds we
There were four rounds of interviews, ranging from puzzles to coding and data structures. Questions covered data structures, coding complexity, sorting algorithms, and C pointers. There were a whiteboard coding session and two puzzles. * Write a p
Here are the five rounds for the data engineering interview: * Manager interview with high-level SQL coding * Python coding round - medium-level LeetCode * Data modeling round * Past projects/experience round * Cultural fit - with Senior M
The first round was about project experience, and I was asked to write SQL queries and some Unix commands. After five days, the second round started with a difficult SQL problem that I could not solve. I answered other questions well. Both rounds we
There were four rounds of interviews, ranging from puzzles to coding and data structures. Questions covered data structures, coding complexity, sorting algorithms, and C pointers. There were a whiteboard coding session and two puzzles. * Write a p