Fractal Data Engineer Interview Questions
The questions to prepare for a Fractal Data Engineer interview. Questions from real interview reports rank first. Updated daily.
Process log lines lazily, count keyword matches, and return the first matching line numbers without loading the file.
FractalEvaluates your practical Python and pandas skills for data preparation and analysis.
FractalFind the second highest salary in each department without using aggregate functions.
FractalExplain OLTP vs OLAP designs, including schema shape, workload patterns, and when each is appropriate in a data platform.
FractalRank each client's top active campaigns by Q1 spend using a subquery and ROW_NUMBER window function.
FractalTask OpenText wants a regional customer-spending view for account planning. Write a PostgreSQL query that identifies the three customers with the highest q...
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Basic Spark Scala interview topics for ETL pipelines, covering core transformations, execution model, and data quality checks.
FractalDesign a Spark-based batch and streaming pipeline to replace legacy Hadoop jobs and deliver analytics data with sub-3-minute freshness.
FractalRedesign a slow Databricks Spark ETL pipeline to cut runtime from 3 hours to under 60 minutes without breaking data quality or SLAs.
FractalEvaluates your ability to connect your current work to big data and scalable system design concepts.
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