Data Engineer Interview Questions

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.

20,132 data engineer interview questions shared by candidates

Bellow is a table called fact_daily_users, which contains the users who were active on a specific date with the specific action they have made (aggregate total actions per row). user_id | date | action| total_actions| day_in_row 332 |17/06| view | 1 | 1 332 |20/06| view | 6 | 1 332 |20/06| click | 2 | 1 221 |24/06| view | 4 | 1 221 |24/06| click | 2 | 1 221 |21/06| view | 1 | 2 221 |20/06| view | 1 | 1 332 |21/06| view | 4 | 2 332 |21/06| click | 3 | 2 Q1: write a query that calculates the logic of day_in_row field with SQL, no joins are allowed. "day_in_row" shows consecutive days for user - users that return day after day to the website per row. Q2: write a function (Python / Java) that gets sql query and returns the output in json object
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Data Engineer

Interviewed at Tipalti

3.3
Feb 18, 2023

Bellow is a table called fact_daily_users, which contains the users who were active on a specific date with the specific action they have made (aggregate total actions per row). user_id | date | action| total_actions| day_in_row 332 |17/06| view | 1 | 1 332 |20/06| view | 6 | 1 332 |20/06| click | 2 | 1 221 |24/06| view | 4 | 1 221 |24/06| click | 2 | 1 221 |21/06| view | 1 | 2 221 |20/06| view | 1 | 1 332 |21/06| view | 4 | 2 332 |21/06| click | 3 | 2 Q1: write a query that calculates the logic of day_in_row field with SQL, no joins are allowed. "day_in_row" shows consecutive days for user - users that return day after day to the website per row. Q2: write a function (Python / Java) that gets sql query and returns the output in json object

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