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Data Engineering Interview at top product based company | First Round 

The Big Data Show
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Data Engineering Mock Interview
In top product-based companies like #meta #amazon #google #netflix etc, the first round of Data Engineering Interviews checks problem-solving skills.
It mostly consists of screen-sharing sessions, where candidates are expected to solve multiple SQL and DSA problems, particularly in #python. We have tried to replicate the same things by asking multiple good SQL and DSA problems to check the candidate's problem-solving skills.
If you're preparing for a Data Engineering interview, this is the perfect opportunity to enhance your skills and increase your chances of success.
The mock interview simulates a real-life scenario and provides valuable insights and guidance.
You'll get to see how professionals tackle technical questions and problem-solving challenges in a structured and efficient manner.
By watching this mock interview, you'll learn effective strategies to approach technical questions and problem-solving scenarios, gain familiarity with the data engineering interview process and format, enhance your communication skills and ability to articulate your thoughts clearly, identify areas of improvement, receive expert feedback on your performance, boost your confidence, and reduce nervousness for future interviews.
This mock interview suits all levels of experience, whether you're a fresh graduate, a career changer, or a seasoned professional looking to improve your interview skills. Don't miss out on this invaluable learning experience! Subscribe to our channel and hit the notification bell to be notified when the mock interview is released. Stay tuned for a deep dive into the world of data engineering.
Subscribe now and be the first to watch the Data Engineering Mock Interview.
🔅 To book a Mock interview - topmate.io/ankur_ranjan/15155
🔅 LinkedIn - / thebigdatashow
🔅 Instagram - / ranjan_anku
🔅 Ankur(Organiser) 's LinkedIn profile - / thebigdatashow
🔅Ankur Ranjan(Interviewer) 's LinkedIn profile -
/ thebigdatashow
🔅 Pragya Jaiswal(Interviewee) 's LinkedIn profile -
/ pragya-jaiswal-9661b3192
Chapters:
#sql #dataengineering #interview interview #interviewquestions #bigdata #mockinterview #aws #dsa

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5 июн 2024

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Комментарии : 11   
@DE_Pranav
@DE_Pranav 24 дня назад
great questions, thank you for this video
@sandeepmodaliar6980
@sandeepmodaliar6980 7 дней назад
The Python Program is an interesting one, assuming a value in list as Store ID and k as the distance or proximity within which another store with the same ID shouldn't exist. We can store a list as value with count,start_indx, end_ indx. If count is 2 we check the diff i.e., end_indx-start_indx
@tejachillapalli8812
@tejachillapalli8812 12 дней назад
dictionary = dict() for index, value in enumerate(nums): if value in dictionary: if abs(dictionary[value] - index)
@user-rh1hr5cc1r
@user-rh1hr5cc1r 17 дней назад
parquet store the file in hybrid format, not column based(80 % true)..
@mohitbhandari1106
@mohitbhandari1106 22 дня назад
I think the first sql can be done using group by as well instead of window function
@VishalSharma-lz6ky
@VishalSharma-lz6ky 24 дня назад
Awesome mock interview And the last question was very good How it saves time if you are reading from disk
@sarathkumar-tr3is
@sarathkumar-tr3is 22 дня назад
def distinct_ind(l,k): dict={} for i in range(len(l)): if l[i] in dict: if abs(i - dict[l[i]])
@sarathkumar-tr3is
@sarathkumar-tr3is 24 дня назад
1.SQL solution: select name from ( select e.name,d.department_name, DATEDIFF(day,e.hire_date,p.promotion_date) as day_count, rank() over(partition by d.department_name order by DATEDIFF(day,e.hire_date,p.promotion_date) desc) as Rank from employee e join promotions p on e.employee_id =p.employee_id join departments d on e.department_id = d.department_id) A where rank =1;
@sarathkumar-tr3is
@sarathkumar-tr3is 24 дня назад
2.SQL solution: select name from ( select e.name, DATEDIFF(day,p.promotion_date,l.leave_start) as d_diff from employee e join promotions p on e.employee_id = p.employee_id join leaves l on e.employee_id = l.employee_id) A where d_diff = 1;
@kiranmudradi3927
@kiranmudradi3927 22 дня назад
I think d_diff should be >=1. lets say if an employee got promoted on some date which falls on Friday. From Monday he is taking leave. which has d_diff =2 in this case this recored wont be counted right. Just sharing my thoughts of some edge case.
@sarathkumar-tr3is
@sarathkumar-tr3is 22 дня назад
@@kiranmudradi3927 hey thanks for covering that
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