General questions from Altimetrik data engineering interviews.
These general questions are sourced from Altimetrik data engineering interviews. Each includes an expert-level answer. This set leans toward fundamentals — 3 easy, 1 medium, and 1 hard questions. Recurring themes are etl, spark, and partition — these patterns appear most often in real interviews and reward the deepest preparation. Many of these questions also surface at Infosys, so the preparation transfers across companies. Average answer is around 1 minute of reading — plan roughly 1 hour to work through the full set thoughtfully.
This collection contains 5 curated questions: 3 easy, 1 medium, and 1 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 etl (2), spark (2), partition (1), python (1), sql (1), and bigquery (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.
How would you read data from a web API? What steps would you follow after reading the data?
Explain your recent projects in detail.
How do you move files in DBFS?
Primary Key vs. Secondary Key?
What is a Foreign Key?
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