Real questions from top companies Β· hard
Explain the projects you have worked on, focusing on challenges and solutions you implemented.
Explain your journey as a data engineer and the projects you have worked on.
Have you ever faced a situation where you had to push back on a requirement? If so, how did you handle it?
How do you handle conflicts within the team?
How do you handle disagreements with team members?
How do you ensure effective communication between technical and non-technical teams?
How do you keep yourself updated with new data engineering trends?
How do you see your career evolving in the next 3-5 years?
Share examples of successful stakeholder communication
Tell me about yourself and your professional background.
What are your professional development goals for the next five years?
What data storage would you use for real-time analytics? Why?
ADF Optimization Techniques?
Azure Fabric in Cloud Architecture?
Business generates TBs of data daily. How would you design the data pipeline in Azure?
Core services of AWS used in data engineering?
Data Lakehouse architecture in Azure?
Describe AWS Glue components and their functions.
Could you describe a specific cost optimization strategy you implemented in the cloud and its results?
Describe how Adidas could use S3 and Athena to analyze clickstream data.
Type or paste your answer to any of these questions and our AI Coach scores it, highlights gaps, and rewrites it at FAANG quality. Free to try.