Data Processing Interview Questions

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

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How can you deal with large files in a data processing pipeline?🟡 Medium · Conceptual · Asked 2×How would you use a Spark window function with row_number() partitioned by customer and ordered by timestamp descending to get the latest order per customer?🟡 Medium · Coding · Asked 1×Which AWS service do you use for data querying and data processing?🟡 Medium · Conceptual · Asked 1×Let's say you have used re-partition and it has increased shuffling, but it's not helping. How would you handle it?🟡 Medium · Debugging · Asked 1×What are the different ways available in PySpark on Databricks to handle large data ingestion scenarios, and is there a particular approach that is recommended?🟡 Medium · Conceptual · Asked 1×What options are available in PySpark on Databricks to handle scenarios involving large datasets and joins?🟡 Medium · Conceptual · Asked 1×JSON format is available in the raw folder. The task is to read a particular file from that location and perform an operation to identify duplicates.🟡 Medium · Coding · Asked 1×Which Python libraries will you use for processing?🟡 Medium · Conceptual · Asked 1×In a scenario where ball numbers may repeat, how would you calculate the average score per over?🟡 Medium · Coding · Asked 1×Is AWS Glue used for real‑time data batch processing, and are we using the same Glue service for handling both batch and streaming workloads?🟡 Medium · Conceptual · Asked 1×Can Glue be replaced with Athena? What other tools can replace Glue? What is the basic use of Glue? What is the main use of Glue in a project? Since EMR can also be used and is less costly, is there any particular reason to use Glue?🟡 Medium · Conceptual · Asked 1×Given a list of records with amounts and currencies, convert all USD amounts to EUR and add the converted amounts to each record.🟡 Medium · Coding · Asked 1×Suppose 100 GB of files arrive in an S3 bucket every day and need to be processed and loaded into a data warehouse. Which AWS services would you use and why? Consider factors such as flexibility, cost, scalability, and error recovery.🔴 Hard · System Design · Asked 1×Which AWS platform is used to run and transform Spark jobs, and what parameters are required to trigger a Spark transformation?🟡 Medium · Conceptual · Asked 1×Does AWS Lambda have limitations when processing training data larger than 100 MB?🟡 Medium · Conceptual · Asked 1×Can AWS Lambda process 10 GB of data?🟡 Medium · Conceptual · Asked 1×Give me one of the projects that involved Flink.🟡 Medium · Behavioral · Asked 1×Can you tell what the Catalyst optimizer in Spark is?🟡 Medium · Conceptual · Asked 1×What is a watermark column?🟢 Easy · Conceptual · Asked 1×If we are going to discuss handling 10,000 records efficiently, which mechanism can we use?🟡 Medium · Conceptual · Asked 1×Given a file containing JSON records, de‑duplicate the contents based on event_id. If multiple records share the same event_id, keep only one.🟡 Medium · Coding · Asked 1×Given a file containing JSON records, de‑duplicate the contents based on event_id. If multiple records share the same event_id, keep only one.🟡 Medium · Coding · Asked 1×

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