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Lead Data Engineer Interview Questions

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208 lead data engineer interview questions shared by candidates

Please prepare an architectural diagram of a data platform you have been involved in and you feel is relevant to Outra. In the interview you will be asked to talk through the various components, the technical choices, potential issues and any recommendations for the future.

Lead Data Engineer

Interviewed at Outra

4.3★
Nov 18, 2024

Please prepare an architectural diagram of a data platform you have been involved in and you feel is relevant to Outra. In the interview you will be asked to talk through the various components, the technical choices, potential issues and any recommendations for the future.

1) Project explanation 2) Spark Optimization 3) Data quality process and ways to handle it 4) Questions on Databricks, Datafactory and few services from Azure mentioned in the CV 5) The whole interview was a discussion rather than just one way process which made me very comfortable
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Lead Data Engineer

Interviewed at Metyis

3.7★
Nov 30, 2024

1) Project explanation 2) Spark Optimization 3) Data quality process and ways to handle it 4) Questions on Databricks, Datafactory and few services from Azure mentioned in the CV 5) The whole interview was a discussion rather than just one way process which made me very comfortable

to write SQL queries and Pyspark coding to load, filter, aggregate and save as another new table, strategies to design ETL validations to merge to consume kafka and s3 bucket files. Strategies to consume data from s3 bucket focusing on spark architecture, designing clusters, shuffling, narrow/wide transformations, authenticating Azure data lakes, resource manager in spark.
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Lead Big Data Engineer

Interviewed at Citibank

3.6★
Jul 3, 2025

to write SQL queries and Pyspark coding to load, filter, aggregate and save as another new table, strategies to design ETL validations to merge to consume kafka and s3 bucket files. Strategies to consume data from s3 bucket focusing on spark architecture, designing clusters, shuffling, narrow/wide transformations, authenticating Azure data lakes, resource manager in spark.

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