Interview experiences · Tredence
Tredence Data Engineer interview: PySpark, Spark architecture and SQL
In progressTech screen
After an initial recruiter-style conversation, I had a focused technical screen that lasted about 30 minutes. We discussed PySpark, SQL and how I worked with Azure Databricks. The panel's tone felt positive. The questions covered data engineering fundamentals. I explained Spark architecture in detail, talked through ways to parse JSON and, toward the end, wrote a SQL query to find three consecuti…
After an initial recruiter-style conversation, I had a focused technical screen that lasted about 30 minutes. We discussed PySpark, SQL and how I worked with Azure Databricks. The panel's tone felt positive.
The questions covered data engineering fundamentals. I explained Spark architecture in detail, talked through ways to parse JSON and, toward the end, wrote a SQL query to find three consecutive numbers in a dataset. I felt the conversation went smoothly. Afterward, I was selected for the first technical round that would follow this screen.
Location: Bengaluru. Overall feedback: positive. Offer status: no offer.
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