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Daily tasks of a Data Engineer?

Spark/Big Datamedium0.3 min readPremium
Frequency
Low
Asked at 1 company
Category
452
questions in Spark/Big Data
Difficulty Split
88E|81M|283H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Comcast
Key Concepts Tested
partition
Expert AnswerPremium
65 wordsInterview-ready
**Situation/Task**: Data engineers own reliability, quality, and delivery. **Action (daily)**: (1) **Monitor**—pipeline health, SLAs, alert triage. (2) **Debug**—failures, root cause, fix and deploy. (3) **Optimize**—slow queries, costly jobs, partition strategy. (4) **Quality**—review expectations, resolve anomalies. (5) **Collaborate**—analytics on schema, stakeholders on SLA. (6) **Docs**—runbooks, lineage, design decisions. (7) **On-call**—incident response....
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 Comcast. The answer also includes follow-up discussion points that interviewers commonly explore.

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