66degrees Data Engineer Interview Questions
The questions to prepare for a 66degrees Data Engineer interview. Questions from real interview reports rank first. Updated daily.
Use GROUP BY and SUM to rank the top 10 customers by total revenue from a single sales table.
66degreesExplain OLTP vs OLAP designs, including schema shape, workload patterns, and when each is appropriate in a data platform.
66degreesOptimize a PostgreSQL reporting query by reducing intermediate rows, using appropriate joins, and calculating monthly performance efficiently.
66degreesAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Benjamin MooreApproach for finding and fixing a slow dashboard pipeline, from source ingestion to warehouse queries.
66degreesDescribe how you clean and preprocess data so dashboards stay accurate and usable.
66degreesDesign a pipeline for a real-time operational dashboard, covering streaming ingestion, modeling, data quality, and dashboard serving.
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Tests your ability to select appropriate data structures for performance and correctness.
66degreesTests your ability to design Python code for streaming ingestion and processing patterns.
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