MNJ Software Data Engineer Interview Questions
The questions to prepare for a MNJ Software Data Engineer interview. Questions from real interview reports rank first. Updated daily.
Explain the architecture of a complex ETL pipeline built from scratch, including orchestration, data quality, idempotency, and backfill strategy.
Design a real-time feature pipeline processing 120K events/sec into low-latency feature tables and warehouse models with replay and quality controls.
Approach for building fault tolerance into a distributed data pipeline, including retries, idempotency, and recovery controls.
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Approach for detecting and mitigating skew in PySpark pipelines using partitioning, join strategies, and runtime monitoring.
Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.
Approach for maintaining data quality and integrity across ETL pipelines.
Evaluates your knowledge of storage systems and how they impact data engineering design decisions.
Assesses your ability to select the right data store based on consistency, scale, and access patterns.