
Databricks Software Engineer Interview
The interview focuses on designing a multi-tenant, real-time analytics and ML feature pipeline on the Databricks Lakehouse, handling large volumes of data and ensuring data quality and security.
8 minutes
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Questions that have appeared at databricks for a engineering (Case Study) interview.
1. Data Engineering
Question: How would you design a system to process and analyze large amounts of data in real-time?
Question: How would you handle data cleaning and preprocessing in an engineering project?
Question: How can you ensure data integrity while transferring large volumes of data?
2. System Design
Question: Can you describe a situation where you had to make trade-offs in system design?
Question: How would you design a distributed computing system from scratch?
Question: How would you ensure your system can handle a sudden spike in traffic or load?
3. Software Engineering Principles
Question: What are some key principles you follow when designing software systems?
Question: Can you describe a time when you had to refactor code to improve its performance or readability?
Question: How do you approach debugging a complex system?
4. Project Management
Question: How do you prioritize tasks in a project with tight deadlines?
Question: Can you describe a time when you had to make a critical decision that affected the outcome of a project?
5. Cloud Computing
Question: How would you migrate an existing system to a cloud environment?
Question: Can you describe an instance where you had to troubleshoot a problem related to cloud computing in your previous projects?
About This Interview
Interview Type
PRODUCT SENSE
Difficulty Level
4/5
Interview Tips
• Research the company thoroughly
• Practice common questions
• Prepare your STAR method responses
• Dress appropriately for the role