These questions are tailored to the Tech Lead Databricks Data Engineer role at Mitre Media, based on the required skills and experience level.
Cover problem definition, data collection, feature engineering, model selection, evaluation, and deployment.
Share specific techniques you've used and how they improved model performance.
Discuss model drift, retraining strategies, and the importance of monitoring deployed models.
Mention metrics like accuracy, precision, recall, F1, AUC-ROC, and business-specific metrics.
Show you can prioritize leadership while staying technically relevant and credible.
Discuss career development conversations, challenging assignments, and creating a supportive environment.
Name specific services (EC2, S3, Lambda, RDS, etc.) and discuss trade-offs in your architecture.
Discuss Spring Boot, Maven/Gradle, JVM tuning, and your preferred patterns.
Discuss type hints, virtual environments, linting, testing frameworks, and project structure.
Focus on prioritization, communication, and what you delivered despite the constraints.
Key tips specific to data science interviews and remote interview etiquette.