Loading...
Loading...
Browse 3 real-world technical and behavioral interview questions about Customer data integration. Review scenarios, edge cases, and architectural best practices.
Pull a bounded, representative extract into an environment you control and develop against that, keeping production for read-only verification under agreed limits, and treat every write path as something proven against a restored copy before it runs anywhere near live.
Read the data rather than the DDL: profile every column for cardinality, null rate and value distribution, use foreign-key-shaped joins to test relationships you suspect, and confirm each conclusion against a report the business already trusts before you build on it.
Segment the nulls before drawing any conclusion — by date, source system, record type and creating process — because a null rate that clusters is a documented business path nobody mentioned, while one spread evenly is usually a genuine capture defect.