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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.
20,256 data engineer interview questions shared by candidates
Q: How do you ensure time series data does not have discrepancy?
After seeing interview process never ever going to join this company.
Q: If you drop an egg from a building with n floors, how would you determine the first floor at which the egg cracks? How would you do this without knowing the number of floors?
Explain some of the Cloud Services you have used and in what context?
Can you to data migration
If you get an unsorted string of many a's and b's, how would you sort it in an efficient way?
One of the interviewees asked me unexpected questions which were totally unrelated to the technology. He put me in a situation that would require some analysis and articulation.
How will you join data coming from different pipelines in flume
I was asked about end-to-end Data Engineering project flow and my contribution at each stage with detailed technical discussion. Questions would revolve around the Big Data stack.
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