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Sep 28
In Progress
Overall Experience
The process included a timed online assessment followed by an elimination technical interview. The interview began with a résumé discussion and covered data engineering fundamentals.
2 rounds
I
Posted by interviewd
Interview Process (2 rounds)
Round 1 of 2: Online Assessment
90 min
Question 1
Medium
The 90-minute assessment contained 10 multiple-choice questions and two medium SQL questions. What did the SQL tasks evaluate?
Experience
They tested query-writing skills and SQL fundamentals; exact prompts were not provided.
60 min
Question 1
Medium
Explain physical joins, hash joins, and broadcast nested-loop joins.
Experience
Compare the join strategies and their use in data processing.
Question 2
Medium
How do GROUP BY aggregations differ from window functions?
Experience
Discuss how each computes results over grouped or related rows.
Question 3
Medium
What are Slowly Changing Dimensions and their types?
Experience
Explain SCD concepts; specific types were not enumerated.
Question 4
Medium
How do star and snowflake schemas differ?
Experience
Compare the two data warehouse schema designs.
Question 5
Medium
How would you optimize SQL queries?
Experience
Discuss query optimization approaches; no specific approach was recalled.
Question 6
Medium
How do a data warehouse, data lake, and lakehouse differ?
Experience
Compare their data storage and processing roles.
Question 7
Medium
How does traditional batch architecture differ from event-driven incremental ingestion?
Experience
Compare ingestion patterns.
Question 8
Medium
What is idempotency in data processing?
Experience
Explain the concept in the context of data workflows.
Question 9
Medium
What is change data capture (CDC)?
Experience
Explain how CDC identifies and propagates data changes.
Question 10
Medium
Write a SQL query about consecutive user logins.
Experience
A live SQL coding task asked about consecutive user logins; the exact schema and expected output were not recalled.