Interview questions
Preparing for a data engineering interview at Hexaware? This page contains 13 real interview questions sourced from verified Hexaware interview experiences. Questions are sorted by frequency — the ones asked most often appear first.
Hexaware data engineering interviews typically focus on Spark/Big Data, General/Other, and Cloud/Tools. There's a solid mix of fundamental and advanced questions, making it accessible for candidates at multiple experience levels.
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 the difference between SparkSession and SparkContext in Spark?
How do you copy all files from one source path to target in ADF?
Explain Job vs. Interactive Clusters.
How do you increase job performance? What techniques and optimizations?
How do you run one notebook in another notebook?
How do you see files before update (history records/versioning)?
Explain how to implement cumulative sum in SQL.
Discuss Delta Logs file format and its significance.
Explain SCD1 and SCD2 in Databricks PySpark with examples.
Explain aggregation functions in PySpark with examples and use cases.
How do you access Delta Logs?
How do you connect to Blob Storage in Databricks?
What are the steps to connect to Salesforce?
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