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Data Ingestion Interview Questions

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

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These Data Ingestion interview questions were captured from real interviews by candidates using Assisting AI. Each links to a full model answer. For real-time help during your own interview, get Assisting AI from ₹500/day.

In Spark, you receive data from a webhook that streams every second. After some records, blank records appear, then values again. How would you handle this in Spark to keep reading the data and store it in a table?🟡 Medium · Conceptual · Asked 1×Can you explain your experience with PI Spy?🟡 Medium · Behavioral · Asked 1×How did data get into your system?🟢 Easy · Conceptual · Asked 1×How do you ingest data into S3 from multiple systems such as Snowflake, ServiceNow, Salesforce, and ERP, and have you built any integration to pull data from Salesforce?🟡 Medium · Conceptual · Asked 1×What if the timestamp column or watermark is not available in the source database? How would you handle the missing field, and where would you notice the impact?🟡 Medium · Conceptual · Asked 1×In the recent project you worked on, how did you handle data ingestion from multiple source systems into your data warehouse?🟡 Medium · Behavioral · Asked 1×How would you design a robust data ingestion pipeline that recursively grabs files and handles errors gracefully, using tools like DBT, Redshift, and Power BI?🟡 Medium · Conceptual · Asked 1×Can you describe a project where you had to ingest advertising data from multiple platforms (e.g., TM360, DB360, TradeDesk) and handle data quality issues in custom offline data?🟡 Medium · Behavioral · Asked 1×How do you onboard data from S3 into Snowflake?🟡 Medium · Conceptual · Asked 1×How long does it take to create an ETL pipeline to ingest data?🟡 Medium · System Design · Asked 1×

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