Medium ₹7–20 LPA
79% interview overlap with Meta
Meta · Data Engineer (Kafka)
132 candidate reports · bangalore
4.3 avg prep ratingUpdated June 2026
30% of candidates were asked a question like this on kafka, flink, streaming. 43% got follow-up: “What would you do differently next time?”
Based on candidate experiences for Data Engineer (Kafka). Representative simulation — not confidential employer data.
Question 1/40%
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Interviewer
STAR: conflict with a cross-functional teammate on delivery
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30% of candidates saw this · free guest practice
Meta readiness
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Top candidates
85%
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No credit card requiredMeta Data Engineer — People Also Ask
Common interview prep questions from recent candidates
- Recent candidates report role-specific technical questions, system design prompts, and behavioral STAR questions tied to ownership and impact.
- Competitive — panels test depth in role fundamentals, system thinking, and communication under follow-up pressure.
- Typical loops: Online Assessment → Technical → System Design → Behavioral. Timelines often run 3–6 weeks.
- When the role involves Java or backend services, Spring Boot and API design often appear in technical rounds.
- Mid-senior Data Engineer loops frequently include system design or architecture discussions — especially for distributed systems and scale.
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