Globant Data Engineer Interview Questions
The questions to prepare for a Globant Data Engineer interview. Questions from real interview reports rank first. Updated daily.
Use a Python list comprehension to generate the squares of integers from 1 through 10.
GlobantTests memory-aware iteration choices and Pythonic design for data processing.
GlobantTests basic Python syntax and ability to translate simple logic into idiomatic code.
GlobantEvaluates problem solving and your approach to data modeling and pipeline design.
GlobantEvaluates data modeling choices for data lakes and warehouses and trade-offs between star and snowflake schemas.
GlobantTests data governance practices, lineage tracking, and quality checks in distributed systems.
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Tests nuanced understanding of SQL ranking semantics for correct analytics results.
GlobantAssesses your practical knowledge of AWS Glue, Spark, and Snowflake in pipeline development.
GlobantAggregate completed revenue and rank customers within each region, including customers with no qualifying orders.
EXL ServiceUse SQL aggregation and Python validation to explain how a workplace data problem was solved and measured.
LalamoveAnswer two SQL data-manipulation questions and one Python question using the supplied users, posts, and comments data.
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