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Explain your project and the technologies used so far.

General/Otherhard0.2 min readPremium

**Stack**: (1) Ingestion—Kafka, Airflow; (2) Storage—S3 lake, Snowflake/BigQuery; (3) Processing—Spark (PySpark); (4) Orchestration—Airflow/Dagster; (5) BI—Tableau/Looker. Medallion (bronze, silver, gold). **Example Flow**: Kafka -> Spark streaming -> Delta/Parquet -> dbt ->...

🤖 Analyze Your Answer
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
Coforge
Key Concepts Tested
airflowbigquerysnowflakespark

Why This Question Matters

This hard-level General/Other question appears frequently in data engineering interviews at companies like Coforge. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (airflow, bigquery, snowflake) 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
39 words

Stack: (1) Ingestion—Kafka, Airflow; (2) Storage—S3 lake, Snowflake/BigQuery; (3) Processing—Spark (PySpark); (4) Orchestration—Airflow/Dagster; (5) BI—Tableau/Looker. Medallion (bronze, silver, gold).

Example Flow: Kafka -> Spark streaming -> Delta/Parquet -> dbt -> Snowflake. Git, CI/CD, Terraform. Balances scale, cost, team expertise.

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According to DataEngPrep.tech, this is one of the most frequently asked General/Other 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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