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Core services of AWS used in data engineering?

Cloud/Toolshard0.3 min readPremium
Frequency
Low
Asked at 1 company
Category
179
questions in Cloud/Tools
Difficulty Split
104E|27M|48H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Aarete
Interview Pro Tip

Red Flag: Listing services without understanding roles. Pro-Move: 'S3 + Glue for serverless; EMR when we need fine-grained Spark tuning—cost vs. control trade-off.'

Key Concepts Tested
airflowsparksql
Expert AnswerPremium
68 wordsInterview-ready
Why this stack: Each service has a role—ingestion, storage, compute, serving. Architectural logic: S3 (lake); EMR/Glue (Spark); Lambda (event-driven); Kinesis (streaming); DMS (CDC); Redshift (warehouse); Athena (serverless SQL); MWAA (Airflow); Glue Catalog (metadata); IAM/KMS (security); CloudWatch (monitoring). Trade-offs: Glue vs. EMR—Glue serverless, EMR more control. Athena vs. Redshift—Athena pay per query; Redshift for interactive....
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 Aarete. The answer also includes follow-up discussion points that interviewers commonly explore.

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