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Explain your journey as a data engineer and the projects you have worked on.

Behavioralhard1 min readPremium
Frequency
Low
Asked at 1 company
Category
144
questions in Behavioral
Difficulty Split
100E|18M|26H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Capgemini
Key Concepts Tested
airflowetloptimizationpartition
Expert AnswerPremium
195 wordsInterview-ready
**Situation:** I started as a software engineer building APIs and moved into ETL and data modeling. I’ve been focused on cloud data platforms for several years and have built systems for e-commerce, finance, and healthcare. **Task:** Articulate my evolution and how each phase shaped my current approach to data engineering. **Action / Journey:** (1) **On-prem Hadoop** — MapReduce, Hive, HBase. Learned scale limits of batch and the importance of partitioning and compression....
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 Capgemini. The answer also includes follow-up discussion points that interviewers commonly explore.

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According to DataEngPrep.tech, this is one of the most frequently asked Behavioral interview questions, reported at 1 company. DataEngPrep.tech maintains a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.

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