MNJ Software Interview Questions
The questions to prepare for MNJ Software interviews, across all roles. Questions from real interview reports rank first. Updated weekly.
Approach for maintaining data quality and integrity across ETL pipelines.
Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.
Approach for building fault tolerance into a distributed data pipeline, including retries, idempotency, and recovery controls.
Approach for detecting and mitigating skew in PySpark pipelines using partitioning, join strategies, and runtime monitoring.
Design a real-time feature pipeline processing 120K events/sec into low-latency feature tables and warehouse models with replay and quality controls.
Explain the architecture of a complex ETL pipeline built from scratch, including orchestration, data quality, idempotency, and backfill strategy.
Tests ownership after a missed deadline, including stakeholder communication, recovery actions, and self-reflection on planning mistakes.
Explain how you prioritize work across multiple operational projects with competing deadlines, impact, and stakeholder pressure.
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