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What is your experience with cloud technologies?

Cloud/Toolshard0.3 min read

Reviewed by Aditya Kumar · Last reviewed 2026-03-24

**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

Part of the ETL Pipeline Design & Orchestration Interview Preparation Hub

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Key Concepts Tested

bigqueryetloptimization

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.

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Pro Tip

Pro-Move: Quantify—'We run 50 Glue jobs daily, 100TB/mo; cut cost 35% with Spot and compression.' Red Flag: Vague 'worked with AWS'—senior engineers cite scale, tools, and outcomes.

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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 an editor-reviewed database of 1,863 data engineering interview questions across 7 categories.

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