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What is your experience with cloud technologies?

Cloud/Toolshard0.3 min readPremium

**Experience**: Production data engineering on AWS (S3, Glue, Lambda, EMR, Athena, Kinesis), GCP (BigQuery, Dataflow, Composer), Azure (ADF, Synapse). Built data lakes (medallion), real-time pipelines (Kinesis→Lambda→S3), batch ETL (Glue, Dataflow). IaC with Terraform; CI/CD for...

🤖 Analyze Your Answer
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
Thoughtworks
Key Concepts Tested
bigqueryetloptimization

Why This Question Matters

This hard-level Cloud/Tools question appears frequently in data engineering interviews at companies like Thoughtworks. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (bigquery, etl, optimization) will help you answer variations of this question confidently.

How to Approach This

This is a senior-level question that tests architectural thinking. Lead with the high-level design, then drill into specifics. Discuss trade-offs explicitly - there is rarely one correct answer. Show awareness of scale, fault tolerance, and operational complexity.

Expert Answer
58 words

Experience: Production data engineering on AWS (S3, Glue, Lambda, EMR, Athena, Kinesis), GCP (BigQuery, Dataflow, Composer), Azure (ADF, Synapse). Built data lakes (medallion), real-time pipelines (Kinesis→Lambda→S3), batch ETL (Glue, Dataflow). IaC with Terraform; CI/CD for pipeline deployment. Focus: Cost optimization (Spot, compression, right-sizing), security (encryption, IAM, audit), reliability (idempotency, monitoring). Scale: Managed 50+ pipelines; 100+ TB processed monthly.

The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations covering performance optimization and real-world examples.

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According to DataEngPrep.tech, this is one of the most frequently asked Cloud/Tools 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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