Data Pipelines Interview Questions

25 real Data Pipelines questions asked in live technical interviews — each with a model answer. Updated weekly.

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When did you detect a mismatch?🟡 Medium · Behavioral · Asked 71×Did you decide whether to fail the entire job or quarantine just the bad records and continue processing?🟡 Medium · Conceptual · Asked 70×When you were building these pipelines, how did you handle orchestration and scheduling?🟡 Medium · Conceptual · Asked 66×What tools did you use and how did you manage dependencies between jobs?🟡 Medium · Conceptual · Asked 65×Is your experience with it compared to what you've done with Glue workflows?🟡 Medium · Conceptual · Asked 60×Have you built pipelines there?🟡 Medium · Conceptual · Asked 38×Have you worked with streaming pipelines and batch networks?🟡 Medium · Behavioral · Asked 3×What is a DAG?🟢 Easy · Conceptual · Asked 2×Let's say I have to design a pipeline. How do I decide whether to use incremental load or full load?🟡 Medium · Conceptual · Asked 1×What cases or conditions determine whether I should use incremental load or full load? We can do a full refresh every day, isn't it? How do I decide between incremental and full load?🟡 Medium · Conceptual · Asked 1×Consider a scenario where downstream analytics frequently fail due to drift and corrupt fields arriving from source databases. How would you implement automated data quality gates in AWS Glue?🔴 Hard · Conceptual · Asked 1×Since you haven't shared your unit testing approach yet, how do you perform integration testing in your data pipeline projects to ensure end‑to‑end data quality?🟡 Medium · Conceptual · Asked 1×How would you use Snowflake tasks for ELT?🟡 Medium · Conceptual · Asked 1×A new column was added without informing the data team, causing the pipeline to fail. How would you prevent such situations?🟡 Medium · Conceptual · Asked 1×Can you describe the architecture of your data pipelines? How do you develop, deploy, and productionize them, and what infrastructure do you use?🟡 Medium · System Design · Asked 1×Say you have ingestion pipelines; what are you primarily using? Are you using Databricks or Snowflake? Was the whole platform considered?🟡 Medium · Conceptual · Asked 1×The previous version of the data is gone. We have a new version of the data, but it is incorrect. We cannot give it to downstream systems or the business.🟡 Medium · Conceptual · Asked 1×Explain the ETL process in data engineering. What do the steps Extract, Transform, and Load entail?🟢 Easy · Conceptual · Asked 1×How do you manage schema changes in time-series data? For example, if a pipeline suddenly receives five new columns, how would you handle that?🟡 Medium · Conceptual · Asked 1×I want to know what data engineering is all about. I come from a non‑tech background. Please explain it in two or three brief lines.🟢 Easy · Conceptual · Asked 1×In Kafka, how can you evaluate schema changes from upstream so that adding or removing fields does not cause problems? Explain how backward and forward compatibility work and how to manage schema evolution without breaking downstream consumers.🟡 Medium · Conceptual · Asked 1×Were the data sources known? Was the data loaded? Which scheduling orchestration did you use, as mentioned Airflow?🟡 Medium · Conceptual · Asked 1×Do you have experience designing end-to-end pipelines in AWS?🟡 Medium · Behavioral · Asked 1×Mention the steps you took to move data from source to the bronze layer.🟡 Medium · Conceptual · Asked 1×We need to build for scale: 500 million transactions.🟡 Medium · System Design · Asked 1×

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