66degrees Data Engineer Interview Questions
The questions to prepare for a 66degrees Data Engineer interview. Questions from real interview reports rank first. Updated weekly.
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.
66degreesTests your approach to indexing, query plans, and tuning for relational databases.
66degreesAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Benjamin MooreCompute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.
ADPDescribe practical experience building pipelines on AWS, including orchestration, security, and data quality.
66degreesApproach for maintaining data quality and integrity across ETL pipelines.
66degreesDesign a pipeline for a real-time operational dashboard, covering streaming ingestion, modeling, data quality, and dashboard serving.
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Tests your practical Python tooling for data transformation and analysis workflows.
66degreesTests your ability to design Python code for streaming ingestion and processing patterns.
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