Data Engineer Mock Interview

Master 25 Data Engineer interview questions covering pipelines, ETL, SQL optimization, and distributed systems.

Question 9 of 25

Do you have experience introducing new data analytics applications? If so, what obstacles did you run into while introducing and implementing them?

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Helen Lee is a freelance data analyst and writer. She has over 15 years of marketing experience working for companies and clients in financial services, quick-service restaurants (QSR), consumer packaged goods (CPG), and education technology.

Introducing new data analytics applications within a company does not happen frequently, because it's cost prohibitive. However, when companies do roll out new data analytics tools, it can become quite a production as the tool has to be connected to the company's current systems, training has to be administered to relevant users, and regular maintenance of the tool needs to be managed. If you have never had experience introducing a new data analytics application, be sure to explain what you know about the process of doing so. This will let the interviewer know that, when the situation arises, you will have some foundational knowledge to help you through the process. If your experience ran smoothly, point out what possible scenarios may have presented themselves as obstacles and how you may have handled them.

Helen Lee

"In my last position as a Data Engineer, I took part in the roll-out of a new data analytics application in my company. Introducing new applications takes careful planning to attempt a smooth transition to the new tool. With my experience, I found that even with careful planning, unforeseen circumstances can occur. In the early stages of the tool's introduction, we had unexpected high demand for user licenses. This required reallocation of resources to purchase additional licenses as well as reprioritization of training schedules to meet the needs of different departments. We also had to ensure that our infrastructure could support the significantly higher number of employees utilizing the tool."

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25Data Engineer Interview Questions & Answers

1.Give an example of when you proposed changes to improve data reliability and quality. Did these changes end up being implemented? If not, why not?

2.Describe a project you worked on where you played an active role in solving a business problem through the innovative use of existing data.

3.Working with data can present a variety of challenges. Can you think of a time where you ran into an unexpected challenge bringing together data from different sources? How did you end up overcoming this challenge?

4.Which programming/scripting languages do you have experience utilizing? Which one do you have the MOST experience with?

5.Which ETL tools do you have experience utilizing? Do you prefer one over the others? If so, why?

6.Data Engineers work closely with Data Architects. How do you see your job differing from that of a Data Architect?

7.Do you have experience building data systems using the Hadoop framework? If so, explain a particular project in detail.

8.Do you have extensive experience working in a cloud computing environment? What benefits and challenges do you see working in one?

9.Do you have experience introducing new data analytics applications? If so, what obstacles did you run into while introducing and implementing them?

10.What is your experience level with NoSQL databases? Give me an example of a project/situation where you found building a NoSQL database to be more appropriate than a relational database.

11.Do you have experience with data modeling? If so, what data modeling tools do you have experience using?

12.Data maintenance is one of the many responsibilities of a Data Engineer. In many cases, tasks related to this are fairly routine. Describe a time when you encountered a data maintenance problem that required you to deviate from your "routine".

13.Describe a time when you found a new use for existing data that had a positive impact on the business.

14.Have you ever been in a data disaster recovery situation? If so, describe the situation and your role.

15.Do you have experience building custom analytics applications? If so, please describe the application you created.

16.What kind of experience have you had working with Data Scientists and what skills do you have in common with them?

17.Which certifications have you earned that are applicable to your job as a Data Engineer? Which was your most recent one and when did you earn it?

18.Are you comfortable working 'behind the scenes'? Alternatively, are you comfortable coming out and being in the 'spotlight'?

19.Do you prefer work in more of a Generalist role or concentrate your work on the Pipeline or Database?

20.Outside of your technical skills, what skills do you find most valuable as a Data Engineer? These could be skills you attained from jobs unrelated to data.

21.Some in the Big Data industry consider Data Engineering to be a non-analytic career path. Do you agree or disagree with that statement and why?

22.Do you have experience training others on thing such as software, applications, porcesses or architecture? If so, what have you found to be the most difficult aspect of doing so?