Real interview questions asked at Persistent Systems. Practice the most frequently asked questions and land your next role.
Persistent Systems data engineering interviews test your ability across multiple domains. These questions are sourced from real Persistent Systems interview experiences and sorted by frequency. Practice the ones that matter most. This set leans toward fundamentals — 8 easy, 4 medium, and 4 hard questions. Recurring themes are partition, optimization, and join — these patterns appear most often in real interviews and reward the deepest preparation. Average answer is around 1 minute of reading — plan roughly 1 hour to work through the full set thoughtfully.
This collection contains 16 curated questions: 8 easy, 4 medium, and 4 hard. There's a strong foundation of fundamentals-focused questions — ideal for building confidence before tackling advanced topics.
The most frequently tested areas in this set are partition (5), optimization (3), join (2), etl (2), lakehouse (1), and sql (1). Focusing on these topics will give you the highest return on your preparation time.
Start with the easy questions to warm up and solidify fundamentals. Medium-difficulty questions form the bulk of real interviews — spend the most time here and practice explaining your reasoning out loud. Hard questions often appear in senior and staff-level rounds; attempt them after you're comfortable with the basics. For each question, try answering before revealing the solution. Use our AI Mock Interview to simulate real interview conditions and get instant feedback on your responses.
Describe a time when you had to deal with a difficult coworker.
Data Lakehouse architecture in Azure?
Describe Amazon Athena and how it interacts with S3.
Describe step scaling policies vs. target tracking policies in AWS Auto Scaling.
Explain AWS Lake Formation and its benefits.
Explain the difference between S3 One Zone-IA and S3 Standard-IA.
How do you handle cost optimization in AWS EMR clusters?
How do you secure data at rest and in transit for AWS RDS?
How does IAM role chaining work?
How would you optimize an ADF pipeline for high performance?
In ADF, how do you handle a scenario where you need to process only new or changed files from a source?
How would you implement VPC peering between two AWS accounts?
What are provisioned throughput and auto-scaling in DynamoDB?
SQL Query for 2nd Highest Salary without Using MAX()
What are partitioning strategies in Redshift?
What are transient clusters in EMR, and when would you use them?
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