Real questions from top companies Β· hard
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?
What are your professional development goals for the next five years?
ADF Optimization Techniques?
Azure Fabric in Cloud Architecture?
Business generates TBs of data daily. How would you design the data pipeline in Azure?
Data Lakehouse architecture in Azure?
Could you describe a specific cost optimization strategy you implemented in the cloud and its results?
Design an end-to-end data pipeline using Glue, Lambda, EC2, S3, Redshift, and Athena.
Design: Migrate data from multiple sources (Hadoop, S3, Oracle DB) into a final S3 bucket
Explain the purpose and architecture of Azure Synapse Analytics.
How would you design a data pipeline using AWS Glue, S3, and Redshift?
How would you handle security and privacy concerns when working with sensitive data in a cloud environment?
How would you implement VPC peering between two AWS accounts?
How would you monitor a data pipeline in AWS to ensure SLA compliance?
How would you secure sensitive credentials in Cloud Composer workflows?
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