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.
One key question they asked me was how I design and optimize end-to-end data pipelines for scalability and reliability. They wanted to understand my approach to handling large datasets, ensuring data quality, and leveraging cloud technologies effectively. It was a great opportunity to discuss my hands-on experience with AWS, Databricks, and Airflow.
Where do you see yourself 5 years from now? Do you really want to work here? What can you contribute?
What will you do if the whole team's performance is being brought down due to one person
Why do you want to work here
Elaborate technical questions as well as a few HR related questions
tell us about you deal with work creating your own demand without a boss
The interview questions revolved most around tableau, database structure, etc. All of the people spoke around the same thing.
They described a technical problem and later followed up with additional challenges that needed to be solved.
1. SQL and Databases 2.Python for Data Engineering 3.Data Modeling and Warehousing 4.Version Control and CI/CD (Basic Awareness)
Asked to solve a coding challenge about event time conflicts.
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