Crack Data Engineering Interviews | Snowflake + DBT + Airflow + Modern Data Vault 2.0
🎯 Cracking a Data Engineering interview in 2025 requires more than theory. This video covers how real enterprise Data Engineering interviews are conducted — what questions are asked, how workflows are explained, and what interviewers actually want to hear.
Madhu (Corporate Mentor | 24+ Years of Corporate Training Experience) walks you through the complete interview preparation strategy for roles involving Snowflake, DBT, Airflow, Modern Data Vault 2.0, AWS S3, Azure ADF, GCP GCS, SQL (SnowSQL), and CI/CD pipelines.
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🔍 TOPICS COVERED IN THIS VIDEO
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✅ Real-World ETL/ELT Workflow
How data flows from Oracle, SQL Server, Hospital Systems, and CRM into S3 / Blob / GCS
ETL Team roles and responsibilities
Source → Stage → Snowflake → DBT → Power BI pipeline walkthrough
✅ OLTP vs OLAP — what interviewers really want to know
✅ Data Modeling
Star Schema vs Snowflake Schema — when to use which and why
Cluster Keys — before and after examples with partitioning depth
Cluster depth scoring: 1-5 = Good, 5-10 = Average, 10+ = Bad clustering
✅ Medallion Architecture / Layer Design
Raw Layer: no changes, land as-is
Staging Layer: cleansing and standardization
Curated / Mart Layer: business logic applied here
Staging → Intermediate → Mart (DBT layering)
✅ Dev → Test → Prod
CI/CD pipeline concepts in DBT and Airflow
How to explain environment promotion in interviews
✅ Common Interview Challenges
Data type mismatches
Handling NULL and empty string issues
Incremental loading and CDC (Change Data Capture) questions
Snowflake-specific constraints and NOT NULL/DEFAULT handling
✅ DBT Interview Questions
Why DBT? ELT vs ETL explained clearly
DBT Run commands
Testing: Unique, Not Null, Accepted Values
Lineage Graph and DBT Docs questions
✅ Airflow Interview Questions
DAG structure — Parent, Child, Grandparent tasks
Task dependencies and orchestration
✅ Modern Data Vault 2.0
Hub, Link, Satellite concepts
Time-variant modeling
How to explain Data Vault in interviews confidently
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💼 COURSE & ENROLLMENT DETAILS
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📦 Plan A — ₹25,000
Snowflake + DBT + AWS S3 + SQL (SnowSQL) + CI/CD
📦 Plan B — ₹40,000 (Full Stack)
Everything in Plan A + ADF Blob Storage + GCP GCS + Airflow + Modern Data Vault 2.0 + Snowflake Cortex AI (GenAI)
🎯 Career Support Included:
Resume preparation for Data Engineering roles
Access to 180+ recruiters
Weekly 2 mock interviews (after payment confirmation, attend the next day)
Reference support
1 Month FREE work support after placement
💯 Job Guarantee with Full Fee Refund policy
📅 New Batch: June 15th, 8 PM
🌐 Mode: Live Online
📞 WhatsApp / Call: +91 73829 54716
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#DataEngineering #SnowflakeInterview #DBTInterview #AirflowInterview #DataVault2 #InterviewPreparation