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Can you elaborate on your Big Data project experience?

General/Othereasy0.2 min readPremium
Frequency
Low
Asked at 1 company
Category
243
questions in General/Other
Difficulty Split
151E|43M|49H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Meesho
Interview Pro Tip

Pro-Move: 'We process 50TB/mo across 30 pipelines—Kinesis for events, Spark for nightly aggregates; migrated 20 on-prem jobs to Glue.' Red Flag: Vague worked with Big Data—cite scale and stack.

Key Concepts Tested
spark
Expert AnswerPremium
42 wordsInterview-ready
**STAR**: **Situation**: Needed to process 50TB monthly; real-time + batch. **Task**: Build scalable pipelines. **Action**: Built Kinesis real-time + Spark batch. S3 data lake. Migrated on-prem to cloud. **Result**: 50TB/mo processed; sub-minute real-time; batch SLA met....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like Meesho. The answer also includes follow-up discussion points that interviewers commonly explore.

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