Ultimate Data Engineering Interview Prep in 13 Hours | SQL, Python, Spark & Data Modeling

Ankit Bansal

Ankit Bansal

80,322 views

Preparing for Data Engineering interviews?

This comprehensive 13-hour course covers the most important topics asked in Data Engineering interviews, from SQL and Data Modeling to Python, Spark, and PySpark. Whether you're a beginner looking to break into data engineering or an experienced professional preparing for your next role, this course is designed to help you build a strong foundation and confidently tackle interviews.

πŸ“Œ What You'll Learn
βœ… SQL Interview Questions & Problem Solving
βœ… Window Functions, CTEs, Joins & Query Optimization
βœ… Data Modeling Fundamentals
βœ… Star Schema & Snowflake Schema
βœ… Fact & Dimension Tables
βœ… Slowly Changing Dimensions (SCD)
βœ… Data Warehousing Concepts
βœ… Python for Data Engineers
βœ… Spark Fundamentals & Architecture
βœ… Transformations vs Actions
βœ… Lazy Evaluation & DAGs
βœ… PySpark DataFrame API
βœ… Joins, Aggregations & Window Functions in PySpark
βœ… Performance Optimization Concepts
βœ… Real Interview Questions & Follow-up Discussions

Timestamps:
00:00:00 Plan for next 13 hours
00:02:23 Data Engineering Courses
00:03:53 SQL For Data Engineering
03:07:25 Data Modelling and Warehousing
04:56:57 Python For Data Engineering
07:01:30 Spark Fundamentals
08:52:41 PySpark API

Zero to hero(Advance) SQL Aggregation:
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Most Asked Join Based Interview Question:
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Solving 4 Trick SQL problems:
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Data Analyst Spotify Case Study:
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Top 10 SQL interview Questions:
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Interview Question based on FULL OUTER JOIN:
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Playlist to master SQL :
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Rank, Dense_Rank and Row_Number:
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#sql #python #spark #datamodeling #dataengineering