Interview questions
Preparing for a data engineering interview at Kaseya? This page contains 12 real interview questions sourced from verified Kaseya interview experiences. Questions are sorted by frequency — the ones asked most often appear first.
Kaseya data engineering interviews typically focus on SQL, Spark/Big Data, and Cloud/Tools. The interview bar skews toward harder problems (6 hard vs. 4 easy), suggesting emphasis on depth and system-level thinking.
Use the difficulty filters above to focus your preparation. For each question, attempt your own answer first, then compare with our expert solution. You can also practice these questions in our AI Mock Interview Coach for real-time feedback.
What is a CTE (Common Table Expression)? What are its uses?
Explain the Medallion Architecture (Bronze, Silver, Gold layers).
Explain the components of ADF: Pipelines, Activities, Linked Services, Datasets, Triggers, and Integration Runtimes
Explain the differences between Azure IR, Self-hosted IR, and Azure-SSIS IR
APPLY Operator - CROSS APPLY and OUTER APPLY
Error Handling in T-SQL - TRY...CATCH, THROW, RAISEERROR
Normalization: 1NF, 2NF, 3NF with examples
PIVOT Operator in T-SQL
SQL Query Optimization techniques
Snowflake: Types of Caching, Time Travel vs. Fail-safe, Snowpipe, Materialized Views
Delta Lake: ACID compliance, time travel, streaming support
Steps to link a Databricks notebook to an ADF pipeline
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