FinXL Data Engineer Interview Questions
The questions to prepare for a FinXL Data Engineer interview. Questions from real interview reports rank first. Updated daily.
Explain relational versus non-relational databases, including data models, consistency, scaling, and practical selection criteria.
Design high availability and fault tolerance for a distributed service, including failure detection, recovery, capacity, and operational safeguards.
Design a resilient real-time pipeline that normalizes heterogeneous source data while preserving quality, ordering, and replayability.
Approach for adding data quality checks, observability, and production monitoring to a data pipeline.
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Explain how to run PostgreSQL schema migrations without downtime while preserving compatibility, integrity, and performance.
Explain how to preserve data integrity during a large database migration using reconciliation queries, joins, CTEs, and transaction controls.
Reconcile customer records across distributed sources and identify missing, duplicate, conflicting, and incomplete data.
Charles SchwabAudit pipeline batches for count mismatches, nulls, duplicates, and invalid values using PostgreSQL aggregation.
FactoredIdentify missing, extra, and mismatched records after migrating data between environments.
NHS