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DATA ENGINEER Interview Questions & Answers! (How to PASS a DATA ENGINEERING Job Interview!)
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#dataengineering #datascience #datascientist
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DOWNLOAD 26 SUPER ANSWERS TO THE TOUGH DATA ENGINEERING INTERVIEW QUESTIONS:
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In this tutorial, Richard McMunn will teach you how to pass a Data Engineering job interview at the first attempt!
26 DATA ENGINEER INTERVIEW QUESTIONS AND ANSWERS:
Q1. Tell me about yourself. 01:48
Q2. Why do you want to be a Data Engineer? 05:03
Q3. Why do you want to work for us? 07:14
Q4. What are the most important skills and qualities needed to be a Data Engineer?
Q5. Explain to me in simple terms what data engineering is, and why it is so important. 08:35
Q6. What makes a good Data Engineer? 10:01
Q7. What are your strengths and weaknesses? 11:20
Q8. What is the difference between supervised and unsupervised machine learning?
Q9. What steps you would follow when commencing a new data engineering project?
Q10. What is data selection bias?
Q11. How would you deal with this situation: an online form is being completed but people are then not submitting it. What could the problem be, and how could data be used to determine the exact issue?
Q12. What is LASSO regularization?
Q13. Tell me a difficult challenge you recently had to overcome.
Q14. How would you describe something technical to a non-technical person?
Q15. How would you resolve conflict with a co-worker?
Q16. What do you like and dislike the most about being a Data Engineer?
Q17. What is the bias-variance tradeoff in machine learning?
Q18. How do you think future technology will impact your job as a Data Engineer?
Q19. What is Decision Tree algorithm?
Q20. Tell me about a time when you demonstrated flexibility as a Data Engineer.
Q21. How would you respond to a senior manager who rejected your data engineering recommendations?
Q22. Why do you want to leave your job?
Q23. Why should we hire you?
Q24. Where do you see yourself in 5 years?
Q25. What are your salary expectations in this Data Engineer role?
Q26. That’s the end of your Data Engineering job interview. Do you have questions for us?
MORE GREAT JOB INTERVIEW TRAINING TUTORIALS TO HELP YOU PASS YOUR DATA ENGINEERING INTERVIEW:
CONNECT WITH RICHARD MCMUNN ON LINKEDIN.COM:
**************************************************************
DOWNLOAD 26 SUPER ANSWERS TO THE TOUGH DATA ENGINEERING INTERVIEW QUESTIONS:
**************************************************************
**************************************************************
DOWNLOAD 26 SUPER ANSWERS TO THE TOUGH DATA ENGINEERING INTERVIEW QUESTIONS:
**************************************************************
In this tutorial, Richard McMunn will teach you how to pass a Data Engineering job interview at the first attempt!
26 DATA ENGINEER INTERVIEW QUESTIONS AND ANSWERS:
Q1. Tell me about yourself. 01:48
Q2. Why do you want to be a Data Engineer? 05:03
Q3. Why do you want to work for us? 07:14
Q4. What are the most important skills and qualities needed to be a Data Engineer?
Q5. Explain to me in simple terms what data engineering is, and why it is so important. 08:35
Q6. What makes a good Data Engineer? 10:01
Q7. What are your strengths and weaknesses? 11:20
Q8. What is the difference between supervised and unsupervised machine learning?
Q9. What steps you would follow when commencing a new data engineering project?
Q10. What is data selection bias?
Q11. How would you deal with this situation: an online form is being completed but people are then not submitting it. What could the problem be, and how could data be used to determine the exact issue?
Q12. What is LASSO regularization?
Q13. Tell me a difficult challenge you recently had to overcome.
Q14. How would you describe something technical to a non-technical person?
Q15. How would you resolve conflict with a co-worker?
Q16. What do you like and dislike the most about being a Data Engineer?
Q17. What is the bias-variance tradeoff in machine learning?
Q18. How do you think future technology will impact your job as a Data Engineer?
Q19. What is Decision Tree algorithm?
Q20. Tell me about a time when you demonstrated flexibility as a Data Engineer.
Q21. How would you respond to a senior manager who rejected your data engineering recommendations?
Q22. Why do you want to leave your job?
Q23. Why should we hire you?
Q24. Where do you see yourself in 5 years?
Q25. What are your salary expectations in this Data Engineer role?
Q26. That’s the end of your Data Engineering job interview. Do you have questions for us?
MORE GREAT JOB INTERVIEW TRAINING TUTORIALS TO HELP YOU PASS YOUR DATA ENGINEERING INTERVIEW:
CONNECT WITH RICHARD MCMUNN ON LINKEDIN.COM:
**************************************************************
DOWNLOAD 26 SUPER ANSWERS TO THE TOUGH DATA ENGINEERING INTERVIEW QUESTIONS:
**************************************************************
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