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Explain your day-to-day responsibilities as a Data Engineer

General/Otherhard0.2 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
KPMG
Key Concepts Tested
airflowetlpythonsnowflakesparksql
Expert AnswerPremium
45 wordsInterview-ready
**Responsibilities**: (1) ETL/ELT—batch and streaming; (2) Data modeling—star/snowflake, data vault; (3) Data quality—monitoring, validation, anomaly detection; (4) Support analytics/ML—optimize queries, clean datasets; (5) Collaborate—requirements, reviews, incidents. **Stack**: SQL, Python, Spark, Airflow, cloud. Monitor pipeline health; documentation, lineage, runbooks....
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 KPMG. The answer also includes follow-up discussion points that interviewers commonly explore.

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