Relevant Technical Experience and Projects Questions

Describe the hands on technical work and projects that directly relate to the role. Cover specific tools and platforms you used, such as forensic analysis tools, operating systems, networking and mobile analysis utilities, analytics and database tools, and embedded systems or microcontroller development work. For each item explain your role, the scope and scale of the work, key technical decisions, measurable outcomes or improvements, and what you learned. Include relevant certifications and training when they reinforced your technical skills. Also discuss any process improvements you drove, cross functional collaboration required, and how the project experience demonstrates readiness for the role.

HardTechnical

0 practiced

You have a high-throughput streaming ingestion that produces many small files in the data lake. Discuss compaction strategies (time-based, size-based, background jobs), trade-offs between throughput and query latency, coordination mechanisms to avoid write contention, and how you would schedule and monitor compaction jobs at scale.

MediumTechnical

0 practiced

Walk through implementing a CDC pipeline from MySQL to a data lake using Debezium and Kafka Connect: explain snapshot vs incremental strategies, connector configuration, handling schema changes, ensuring idempotent or exactly-once delivery into the sink, and monitoring/alerting for lag or connector failures.

EasyBehavioral

0 practiced

List relevant certifications and training you have completed (e.g., Google Professional Data Engineer, AWS Big Data Specialty, Databricks certifications, Terraform Certified) and give a concrete example where one of these courses or certifications directly influenced a technical decision or implementation in a project.

EasyTechnical

0 practiced

Describe how you applied CI/CD practices to data pipelines: specify your version control strategy, types of automated tests (unit, integration, data-quality), how you deployed code (e.g., GitHub Actions/Jenkins/Azure DevOps), and rollback or migration strategies for ETL jobs and database schema changes.

MediumSystem Design

0 practiced

Plan a migration from an on-prem Hadoop cluster to AWS (EMR or EKS) with minimal downtime and consistent data. Outline data transfer methods (distcp, Snowball, direct connect), cutover and verification strategies, testing plan, handling schema and compatibility differences, and how you'd validate performance and correctness post-migration.

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