Udemy - Data Engineering Interview Prep - SQL, Spark and System Design
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size1.7 GB
- Uploaded Byfreecoursewb
- Downloads37
- Last checkedJul. 03rd '26
- Date uploadedJul. 02nd '26
- Seeders 0
- Leechers14
Infohash : 0D96D0439969CF04B35BEBC9626131602626516F
Data Engineering Interview Prep: SQL, Spark & System Design
https://WebToolTip.com
Published 6/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 6h 30m | Size: 1.73 GB
Crack every DE interview round: SQL screens, Spark internals, data modeling, system design & the behavioral offer call
What you'll learn
Answer any SQL screen — window functions, gaps-and-islands, and top-N-per-group — cold and under pressure.
Explain Spark internals (shuffles, skew, AQE, broadcast joins) like someone who has actually debugged them in production.
Design a data warehouse or streaming pipeline on a whiteboard using a repeatable, reusable framework.
Model dimensional schemas and slowly changing dimensions, and defend the grain you chose.
Diagnose "why is this query slow?" and walk an interviewer through the optimization, step by step.
Answer Snowflake and Databricks platform questions with production-grade detail.
Handle take-homes, live SQL tests, and the coding/DSA round without freezing.
Land the behavioral and project deep-dive with STAR stories that signal senior-level ownership.
Requirements
Roughly 1–3 years of hands-on data engineering or analytics-engineering experience (you've built or maintained real pipelines).
Working SQL — you can write joins and aggregations; we take you from there to interview-grade.
Basic Python familiarity; prior Spark or PySpark exposure helps but isn't required.
A free Snowflake and/or Databricks trial account if you want to run the platform examples (optional).
Files:
[ WebToolTip.com ] Udemy - Data Engineering Interview Prep - SQL, Spark and System Design- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Inside the DE Interview The Map
- 1 - Module 1 Check.html (21.1 KB)
- 1 - What Companies Actually Test.mp4 (19.6 MB)
- 2 - Reading the Job Description Like an Interviewer.mp4 (25.9 MB)
- 3 - The 4-Week Prep Plan + How to Use This Course.mp4 (15.9 MB)
- 10 - Module 10 Check.html (21.3 KB)
- 32 - The Shuffle Root of All Spark Questions.mp4 (22.3 MB)
- 33 - Broadcast Joins, Partitioning and Bucketing.mp4 (21.5 MB)
- 34 - Data Skew, AQE and Catalyst.mp4 (19.8 MB)
- 35 - Caching and Persistence When They Backfire.mp4 (22.1 MB)
- 11 - Module 11 Check.html (21.1 KB)
- 36 - ETL vs ELT and Where Each Wins.mp4 (17.5 MB)
- 37 - Idempotency, Incremental Loads and Backfills.mp4 (27.1 MB)
- 38 - Orchestration and Dependency Design (Airflow).mp4 (22.5 MB)
- 39 - Handling Late and Duplicate Data.mp4 (25.2 MB)
- 12 - Module 12 Check.html (21.2 KB)
- 40 - Batch vs Streaming and When Real-Time Matters.mp4 (18.3 MB)
- 41 - Kafka Mental Model Topics, Partitions, Offsets.mp4 (26.9 MB)
- 42 - Exactly-Once, Windowing and Watermarks.mp4 (25.8 MB)
- 43 - Change Data Capture (CDC) Patterns.mp4 (28.1 MB)
- 13 - Module 13 Check.html (21.2 KB)
- 44 - Row vs Columnar and Why Parquet Wins.mp4 (31.7 MB)
- 45 - Compression, Partitioning and the Small-Files Problem.mp4 (27.2 MB)
- 46 - Delta and Iceberg Table Formats in Interviews.mp4 (32.4 MB)
- 14 - Module 14 Check.html (21.2 KB)
- 47 - Partitioning, Replication and Sharding.mp4 (27.7 MB)
- 48 - CAP, Consistency Models and Trade-offs.mp4 (36.1 MB)
- 49 - MapReduce, Shuffle and the Lineage of Spark.mp4 (27.4 MB)
- 15 - Module 15 Check.html (21.0 KB)
- 50 - DQ Dimensions and the Checks That Matter.mp4 (31.2 MB)
- 51 - Data Contracts, SLAs and Observability.mp4 (26.5 MB)
- 52 - Testing Pipelines (Unit Integration Data).mp4 (29.2 MB)
- 16 - Module 16 Check.html (21.1 KB)
- 53 - Snowflake Architecture Interview Answers.mp4 (28.3 MB)
- 54 - Databricks and the Lakehouse Explained.mp4 (29.9 MB)
- 55 - Cost and Performance Levers They Ask About.mp4 (34.2 MB)
- 17 - Module 17 Check.html (20.8 KB)
- 56 - The Data-System-Design Framework.mp4 (18.2 MB)
- 57 - Designing a Batch Analytics Pipeline.mp4 (24.8 MB)
- 58 - Estimating Scale, Throughput and Storage.mp4 (27.1 MB)
- 18 - Module 18 Check.html (21.2 KB)
- 59 - Design a Warehouse for an E-commerce Company.mp4 (31.6 MB)
- 60 - Design a Real-Time Metrics Pipeline.mp4 (24.2 MB)
- 61 - Design a Lakehouse Ingestion Layer.mp4 (27.0 MB)
- 19 - Module 19 Check.html (20.9 KB)
- 62 - What DE Coding Rounds Actually Look Like.mp4 (18.0 MB)
- 63 - Arrays, Hashmaps and Strings (the 80%).mp4 (27.8 MB)
- 64 - Complexity and Talking Through Your Code.mp4 (27.8 MB)
- 2 - Module 2 Check.html (21.2 KB)
- 4 - The Join Family and the LEFT-JOIN-NULL Trap.mp4 (21.5 MB)
- 5 - GROUP BY, HAVING and Aggregation Gotchas.mp4 (21.5 MB)
- 6 - Set Operations and Three-Valued NULL Logic.mp4 (23.4 MB)
- 20 - Module 20 Check.html (21.0 KB)
- 65 - Anatomy of a Take-Home and How to Scope It.mp4 (17.2 MB)
- 66 - Live SQL Test Strategy (Think Aloud, Edge Cases).mp4 (23.0 MB)
- 67 - Presenting Your Solution Like a Senior.mp4 (24.1 MB)
- 21 - Module 21 Check.html (21.1 KB)
- 68 - STAR Method and Structuring Your Stories.mp4 (16.8 MB)
- 69 - The Project Deep-Dive Defending Decisions.mp4 (18.4 MB)
- 70 - Conflict, Ownership and Senior Signals.mp4 (14.2 MB)
- 71 - Questions to Ask Them (and Red Flags).mp4 (14.9 MB)
- 22 - Module 22 Check.html (21.5 KB)
- 72 - The SQL + Window Screen (Timed, Solved).mp4 (23.8 MB)
- 73 - The Spark + Pipeline-Design Loop.mp4 (26.5 MB)
- 10 - Top-N-per-Group the Classic Question, Solved Three Ways.mp4 (24.8 MB)
- 3 - Module 3 Check.html (21.0 KB)
- 7 - ROW_NUMBER vs RANK vs DENSE_RANK.mp4 (21.6 MB)
- 8 - Running Totals and Moving Averages ROWS vs RANGE.mp4 (20.9 MB)
- 9 - LAG, LEAD and Period-over-Period Analysis.mp4 (18.0 MB)
- 11 - CTEs vs Subqueries vs Temp Tables (and Recursive CTEs).mp4 (22.8 MB)
- 12 - Gaps and Islands One Pattern, Twenty Questions.mp4 (20.8 MB)
- 13 - Pivoting, Unpivoting and Conditional Aggregation.mp4 (18.3 MB)
- 14 - Date-Time Gymnastics and Sessionization.mp4 (24.4 MB)
- 4 - Module 4 Check.html (21.3 KB)
- 15 - Reading an Execution Plan.mp4 (19.1 MB)
- 16 - Partition Pruning and Predicate Pushdown.mp4 (23.2 MB)
- 17 - The Anti-Patterns That Tank Performance.mp4 (32.3 MB)
- 5 - Module 5 Check.html (21.2 KB)
- 18 - OLTP vs OLAP and Why Models Differ.mp4 (16.5 MB)
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