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Data Engineer Interview Questions

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Data Engineer Interview Questions

Data engineers are IT professionals who are needed in almost every industry. Data engineers monitor data trends to determine best next steps for companies. A critical part of a data engineer job is to process raw data into usable data by creating data pipelines and building data systems.

Top Data Engineer Interview Questions & How To Answer

Question 1

Question #1: Can you describe in detail your level of expertise with programming languages?

How to answer
How to answer: Before the interview, review your resume and/or portfolio and make a list of the programs you are most proficient with. If you find that you are lacking the expertise in a program that the company predominately uses, describe yourself as a highly motivated self-starter who will work tirelessly to learn the program(s).
Question 2

Question #2: Explain data engineering in your own words.

How to answer
How to answer: Highlight your role in relation to the larger organization and other roles like data scientists to clearly define your contribution to the overall system of business. Clarify the difference between a database-centric engineer and a pipeline-centric engineer.
Question 3

Question #3: Can you describe your experience working with Apache Hadoop and cloud data management environments?

How to answer
How to answer: Research the company's software, data cloud products, and use of Apache Hadoop to be prepared for this inquiry. Data Engineers must be fluent in programming languages and data management systems used throughout the industry such as Apache Hadoop.

20,274 data engineer interview questions shared by candidates

TR-1 -- One Python question. list = [1,1,1,3,2,5,2,2,2] finds the highest repeated digit. one SQL question. advance. but easy. TR-2: mostly the project and questions related to AWS. and one SQL question TR-3: one Python and 2 SQL questions. and general discussion. TR-4: AWS very tricky questions. level architect, SQLs question. give me three ways to write 3rd highest salary without using TOP, Limit, Offset. and wasted questions. CF: mostly about the past and general common questions. why we are looking. what you expect in the next 5 years.
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Data Engineer

Interviewed at Quantiphi

3.8★
Feb 2, 2024

TR-1 -- One Python question. list = [1,1,1,3,2,5,2,2,2] finds the highest repeated digit. one SQL question. advance. but easy. TR-2: mostly the project and questions related to AWS. and one SQL question TR-3: one Python and 2 SQL questions. and general discussion. TR-4: AWS very tricky questions. level architect, SQLs question. give me three ways to write 3rd highest salary without using TOP, Limit, Offset. and wasted questions. CF: mostly about the past and general common questions. why we are looking. what you expect in the next 5 years.

we have 2 feeds: 1st feed: device_id, timestamp, location 2nd feed: device_id,timestamp, ssid (as array list) need to retrieve the most recent ssid's when you provide location need to retrieve the most recent location when you provide ssid
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Senior Big Data Engineer

Interviewed at Placer.ai

3.6★
Feb 1, 2022

we have 2 feeds: 1st feed: device_id, timestamp, location 2nd feed: device_id,timestamp, ssid (as array list) need to retrieve the most recent ssid's when you provide location need to retrieve the most recent location when you provide ssid

1. How is the constructor in Python called if from a class I derive another class? 2. If there are Q litters of water and a set number of vases, of which you know one of them can hold 1 litters, how can you put those Q litters of water in the minimum possible number of vases? 3. What other things do you know of Big Data, other than you work with large databases of data.
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Data Engineer Intern

Interviewed at Accesa

4.1★
Mar 1, 2022

1. How is the constructor in Python called if from a class I derive another class? 2. If there are Q litters of water and a set number of vases, of which you know one of them can hold 1 litters, how can you put those Q litters of water in the minimum possible number of vases? 3. What other things do you know of Big Data, other than you work with large databases of data.

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