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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.

20,279 data engineer interview questions shared by candidates

Data Engineer - Coding Exercise Task Steps to fulfil Deploy a trained model in a containerized application (e.g. using TF Server). Write a Python application that exposes one or several APIs, which consume and then serve predictions from the served model. You can use the Python framework of your choice to build the API. Your application should be fully tested with unit and integration tests. You can use the test framework of your choice. Your application should be containerized. To submit: Public git repository with deployment instructions Bonus You provide Kubernetes manifests which would cover the deployment of the entire applications. Was not fulfilled, will continue working on this You write system tests which demonstrate the performance of your application under load. Was not fulfilled, will look into this
avatar

Data Engineer

Interviewed at METRO.digital

3.7★
Oct 18, 2022

Data Engineer - Coding Exercise Task Steps to fulfil Deploy a trained model in a containerized application (e.g. using TF Server). Write a Python application that exposes one or several APIs, which consume and then serve predictions from the served model. You can use the Python framework of your choice to build the API. Your application should be fully tested with unit and integration tests. You can use the test framework of your choice. Your application should be containerized. To submit: Public git repository with deployment instructions Bonus You provide Kubernetes manifests which would cover the deployment of the entire applications. Was not fulfilled, will continue working on this You write system tests which demonstrate the performance of your application under load. Was not fulfilled, will look into this

tbl_products id, name, price 1,macbook air, 999 2,macbook air, 999 3,imac, 2000 4,iPhone 12, 999 5,iPhone 13, 1200 6,iPhone 13, 1200 Write an SQL query which will produce the following output output tbl_products(Output) id, name, price 2,macbook air, 999 3,imac, 2000 4,iPhone 12, 999 6,iPhone 13, 1200
avatar

Principal Data Engineer

Interviewed at NetSol Technologies

3.7★
Jan 27, 2023

tbl_products id, name, price 1,macbook air, 999 2,macbook air, 999 3,imac, 2000 4,iPhone 12, 999 5,iPhone 13, 1200 6,iPhone 13, 1200 Write an SQL query which will produce the following output output tbl_products(Output) id, name, price 2,macbook air, 999 3,imac, 2000 4,iPhone 12, 999 6,iPhone 13, 1200

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