Easy-level general questions from real data engineering interviews.
These easy general questions are selected from real interviews at top companies. Each question includes a detailed expert answer and pro tip to help you nail your interview.
ACID Properties
About Jira
Agile Methodologies - sprint planning, standups, retrospectives
Agile in project management?
Agile methodologies used?
Aptitude Questions - time and work problems
Are You Aware of Beam?
Are there any benefits or perks that are particularly important to you?
Are you open to learning new tools and technologies?
Basic logical or analytical puzzle
Calculate the average session duration per user for the Expedia website.
Can you describe a project you successfully accomplished? What did you do to achieve that success?
Can you describe the role of user groups in setting up these policies?
Can you elaborate on your Big Data project experience?
Can you share an example of a project you worked on that had a significant impact on your organization?
Combine records by name with concatenated course values
Daily Data Volume - quantify
Data access strategy for clients
Data masking scenarios for secure data handling
Deadlock Prevention - how deadlocks occur and how to prevent them
Deadlock: Definition and necessary conditions
Describe a project where you implemented a data quality framework.
Describe a time when you had to work with a difficult stakeholder.
Difference between stubs and skeletons in RMI (Remote Method Invocation)
Discarding Local Changes in Git
Discuss API error handling and retry mechanisms.
Discussion of role models and what was learned from them.
Do you interact directly with business users?
Explain Job vs. Interactive Clusters.
Explain XComs
Explain how Bucket Policies differ from IAM Policies.
Explain how you ensure data security and compliance in sensitive data projects.
Explain the Software Development Life Cycle (SDLC) and compare it with the Waterfall model.
Explain the recent projects you have worked on.
Explain your approach to delivering critical projects on time
Explain your job to a kid.
Explain your projects on which you worked till now and what was your role?
Git Bash Commands
Git Stash
Git: Copying a Branch
HTTP vs HTTPS Protocol
Handle dimension changes
How are new requirements added in Agile?
How did you develop the Datahub using Open Source Projects such as Spline & Datahub?
How did you ensure data quality and integrity?
How do bucket policies handle the Principal element for cross-account roles?
How do you balance technical priorities with business needs?
How do you check the memory of your laptop using Linux commands?
How do you deal with failed large file processing when a file fails at the final 10%?
How do you decide what to automate or what to build from scratch?
How do you ensure version control when migrating notebooks?
How do you handle a ticket beyond story point duration?
How do you handle expired secrets in a production environment?
How do you handle fluctuations in active users?
How do you handle large data transfers with minimal downtime?
How do you handle passing parameters between notebooks?
How do you identify resource bottlenecks in cluster logs?
How do you keep up with learning? Have you attended any conferences or engaged in other learning activities?
How do you keep up with the latest trends or tools in data engineering?
How do you manage authentication for REST API calls using Web Activity?
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