Data Engineer Mock Interview

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

WRITTEN BY HELEN LEE
QUESTION 5 OF 25

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

Helen Lee
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.
Entry Level

"Through my college coursework, I have been exposed to a variety of ETL tools and have experience with some of them including SAP Data Services, IBM Infosphere and SAS Data Management. Based on this experience and various industry articles I have read, I found Informatica's PowerCenter to be the most effective ETL tool because it provides a high level of flexibility when it comes to changes in the business and has also been known for its high performance rate. Flexibility and high performance rates are important attributes of an ETL tool as it guarantees that, despite changes in the business or its structure, its data operations will continue to run smoothly with the data remaining accessible."

Helen Lee
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.
Experienced

"While working with several different ETL tools in prior jobs, I have learned that there are usually pro's and con's to each. I have experience using Microsoft SSIS, Oracle Data Integrator and Informatica PowerCenter. If I had to select one ETL tool over another, based on my experience, I would select Oracle Data Integrator. My preference is based on its higher level of performance from using a EL-T architecture. This allows the transformation stage to occur after data has been loaded on the target server thereby reducing network traffic and ultimately cost. I also find its ability to detect data issues automatically before data is loaded to be an important feature as it prevents data quality issues and maintains a higher level of efficiency in the process."

Helen Lee
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.
How to Answer

In the process of answering this question, the interviewer should be reassured that you are familiar and have experience with the ETL process. Therefore, after you list the ETL tools with which you have experience and declare your preferred one, be sure your reasons for your preference reflect your knowledge of the ETL process.

Helen Lee
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.
Example Answer

"I have experience using both PowerCenter and Oracle Warehouse Builder, but based on my experiences, prefer PowerCenter. I have found that, relative to other ETL tools, the advantages to using PowerCenter include: a single point of control which strengthened security, universal connectivity that allowed for data access and integration from several different sources and scalability that kept us ready for future increases in data needs."

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25 Data Engineer Interview Questions & Answers

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01 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? ~DATA ENGINEER 02 Describe a project you worked on where you played an active role in solving a business problem through the innovative use of existing data. ~DATA ENGINEER 03 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? ~DATA ENGINEER 04 Which programming/scripting languages do you have experience utilizing? Which one do you have the MOST experience with? ~DATA ENGINEER 05 Which ETL tools do you have experience utilizing? Do you prefer one over the others? If so, why? ~DATA ENGINEER 06 Data Engineers work closely with Data Architects. How do you see your job differing from that of a Data Architect? ~DATA ENGINEER 07 Do you have experience building data systems using the Hadoop framework? If so, explain a particular project in detail. ~DATA ENGINEER 08 Do you have extensive experience working in a cloud computing environment? What benefits and challenges do you see working in one? ~DATA ENGINEER 09 Do you have experience introducing new data analytics applications? If so, what obstacles did you run into while introducing and implementing them? ~DATA ENGINEER 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. ~DATA ENGINEER 11 Do you have experience with data modeling? If so, what data modeling tools do you have experience using? ~DATA ENGINEER 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". ~EXPERIENCE 13 Describe a time when you found a new use for existing data that had a positive impact on the business. ~BEHAVIORAL 14 Have you ever been in a data disaster recovery situation? If so, describe the situation and your role. ~DATA ENGINEER 15 Do you have experience building custom analytics applications? If so, please describe the application you created. ~DATA ENGINEER 16 What kind of experience have you had working with Data Scientists and what skills do you have in common with them? ~DATA ENGINEER 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? ~DATA ENGINEER 18 Are you comfortable working 'behind the scenes'? Alternatively, are you comfortable coming out and being in the 'spotlight'? ~DATA ENGINEER 19 Do you prefer work in more of a Generalist role or concentrate your work on the Pipeline or Database? ~DATA ENGINEER 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. ~DATA ENGINEER 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? ~CAREER GOALS 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? ~DATA ENGINEER 23 If you had the time and resources, what types of training courses would you enroll in to help you in your job as a Data Engineer? ~DATA ENGINEER 24 What led you to a career in Data Engineering? ~CAREER GOALS 25 What do you find to be the most difficult aspect of being a Data Engineer? ~DATA ENGINEER
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