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[ WebToolTip.com ] Udemy - Top 101 Data Engineering Interview Questions
Language: English | Duration: 2h 53m | Size: 1.31 GB
Master SQL, Data Warehousing, Big Data, Cloud, Python, and System Design with 101 Real Interview Questions
What you'll learn
Confidently answer 101 of the most frequently asked Data Engineering interview questions across SQL, Big Data, Cloud, and System Design.
Master advanced SQL concepts such as joins, window functions, CTEs, indexing, and query optimization through real-world examples.
Understand Data Warehousing, ETL, and Data Modeling techniques (OLTP vs OLAP, Fact vs Dimension, Star vs Snowflake schema, Slowly Changing Dimensions, CDC).
Gain hands-on clarity in Big Data & Cloud technologies like Hadoop, Spark, Kafka, Snowflake, AWS, Azure, and GCP by exploring practical use cases.
Develop strong problem-solving and communication skills to tackle both technical and behavioral interview rounds with confidence.
Learn system design patterns for data pipelines (batch vs streaming, lakehouse architecture, real-time processing with Kafka + Spark).
Requirements
No prior experience as a Data Engineer is strictly required — this course is designed for both beginners and professionals preparing for interviews.
Basic knowledge of SQL (SELECT, JOIN, GROUP BY) will be helpful but not mandatory.
Familiarity with at least one programming language (Python, Java, or Scala) is a plus but not required.
Curiosity to learn and a desire to crack Data Engineering interviews at top companies.
A laptop/PC with internet connection to follow along with examples and practice queries.
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FILE LIST
Filename
Size
~Get Your Files Here !/1 - Introduction to the Course/1 -How to use this course (Slides + Voiceover transcripts + Practice approach).mp4
11.6 MB
~Get Your Files Here !/1 - Introduction to the Course/2 -Why interviews focus on problem-solving, not just theory.mp4
23.6 MB
~Get Your Files Here !/10 - Section 10 Mock Interview Simulation/1 -Round 1 SQL + Behavioral Mix.mp4
4 MB
~Get Your Files Here !/10 - Section 10 Mock Interview Simulation/2 -Round 2 Data Modeling + System Design.mp4
5 MB
~Get Your Files Here !/10 - Section 10 Mock Interview Simulation/3 -Round 3 Cloud + End-to-End Case Study.mp4
38.7 MB
~Get Your Files Here !/2 - SQL & Database Essentials (20 Questions)/1 -Q1. What is the difference between OLTP and OLAP systems.mp4
8.5 MB
~Get Your Files Here !/2 - SQL & Database Essentials (20 Questions)/10 -Q10. Explain the difference between DELETE, TRUNCATE, and DROP.mp4
12.4 MB
~Get Your Files Here !/2 - SQL & Database Essentials (20 Questions)/11 -Q11. What are ACID properties in databases, and why are they important.mp4
12.6 MB
~Get Your Files Here !/2 - SQL & Database Essentials (20 Questions)/12 -Q12. Explain the difference between WHERE vs HAVING clauses.mp4
8.2 MB
~Get Your Files Here !/2 - SQL & Database Essentials (20 Questions)/13 -Q13. What is a Stored Procedure vs a Function in SQL.mp4
10.1 MB
~Get Your Files Here !/2 - SQL & Database Essentials (20 Questions)/14 -Q14. What are Views in SQL, and when would you use them.mp4
11.4 MB
~Get Your Files Here !/2 - SQL & Database Essentials (20 Questions)/15 -Q15. Explain Aggregate Functions vs Analytic Functions.mp4
14.1 MB
~Get Your Files Here !/2 - SQL & Database Essentials (20 Questions)/16 -Q16. How do you handle NULL values in SQL queries.mp4
11.7 MB
~Get Your Files Here !/2 - SQL & Database Essentials (20 Questions)/17 -Q17. Explain the difference between INNER JOIN vs FULL OUTER JOIN with examples.mp4
9.7 MB
~Get Your Files Here !/2 - SQL & Database Essentials (20 Questions)/18 -Q18. What is a Self Join and when is it useful.mp4
1.4 MB
~Get Your Files Here !/2 - SQL & Database Essentials (20 Questions)/19 -Q19. Second highest salary from an Employee table.mp4
14.4 MB
~Get Your Files Here !/2 - SQL & Database Essentials (20 Questions)/2 -Q2. Explain INNER JOIN vs LEFT JOIN with examples.mp4
6 MB
~Get Your Files Here !/2 - SQL & Database Essentials (20 Questions)/20 -Q20. concept of Transactions and how to implement them in SQL.mp4
12 MB
~Get Your Files Here !/2 - SQL & Database Essentials (20 Questions)/3 -Q3. What are Window Functions in SQL and why are they useful.mp4
7.4 MB
~Get Your Files Here !/2 - SQL & Database Essentials (20 Questions)/4 -Q4. How would you optimize a slow SQL query.mp4
12 MB
~Get Your Files Here !/2 - SQL & Database Essentials (20 Questions)/5 -Q5. Explain Primary Key, Foreign Key, and Unique Key differences.mp4
8.3 MB
~Get Your Files Here !/2 - SQL & Database Essentials (20 Questions)/6 -Q6. (CTE) and how is it different from a Subquery.mp4
9.9 MB
~Get Your Files Here !/2 - SQL & Database Essentials (20 Questions)/7 -Q7. Explain UNION vs UNION ALL with examples.mp4
7.5 MB
~Get Your Files Here !/2 - SQL & Database Essentials (20 Questions)/8 -Q8. What is the difference between Normalization and Denormalization.mp4
10.6 MB
~Get Your Files Here !/2 - SQL & Database Essentials (20 Questions)/9 -Q9. What are Indexes in SQL and what types exist (Clustered vs Non-Clustered).mp4
15.1 MB
~Get Your Files Here !/3 - Section 3 Data Warehousing & ETL (15 Questions)/1 -Q1. What is the difference between Data Warehouse, Data Lake, and Data Lakehouse.mp4
16.3 MB
~Get Your Files Here !/3 - Section 3 Data Warehousing & ETL (15 Questions)/10 -Q10. How do you design a surrogate key vs natural key in a warehouse.mp4
11.2 MB
~Get Your Files Here !/3 - Section 3 Data Warehousing & ETL (15 Questions)/11 -Q11. What are Orchestration tools (Airflow, ADF, Glue) and how do they differ.mp4
11.2 MB
~Get Your Files Here !/3 - Section 3 Data Warehousing & ETL (15 Questions)/12 -Q12. How do you handle late arriving dimensions in ETL.mp4
13.6 MB
~Get Your Files Here !/3 - Section 3 Data Warehousing & ETL (15 Questions)/14 -Q14. How do you handle CDC (Change Data Capture) in ETL pipelines.mp4
12.8 MB
~Get Your Files Here !/3 - Section 3 Data Warehousing & ETL (15 Questions)/15 -Q15. What are some common ETL performance optimization techniques.mp4
14.5 MB
~Get Your Files Here !/3 - Section 3 Data Warehousing & ETL (15 Questions)/2 -Q2. Explain Star Schema vs Snowflake Schema with examples.mp4
11.2 MB
~Get Your Files Here !/3 - Section 3 Data Warehousing & ETL (15 Questions)/3 -Q3. What are Fact Tables and Dimension Tables Give real-world examples.mp4
10 MB
~Get Your Files Here !/3 - Section 3 Data Warehousing & ETL (15 Questions)/4 -Q4. What are Slowly Changing Dimensions (SCDs) Explain different types (Type 1,.mp4
16.6 MB
~Get Your Files Here !/3 - Section 3 Data Warehousing & ETL (15 Questions)/5 -Q5. What is the difference between ETL and ELT processes.mp4
15 MB
~Get Your Files Here !/3 - Section 3 Data Warehousing & ETL (15 Questions)/6 -Q6. How do you handle schema changes in ETL pipelines.mp4
19.6 MB
~Get Your Files Here !/3 - Section 3 Data Warehousing & ETL (15 Questions)/7 -Q7. What are Incremental Load vs Full Load strategies in data pipelines.mp4
8.5 MB
~Get Your Files Here !/3 - Section 3 Data Warehousing & ETL (15 Questions)/8 -Q8. What are Data Quality checks in ETL, and why are they important.mp4
16.1 MB
~Get Your Files Here !/3 - Section 3 Data Warehousing & ETL (15 Questions)/9 -Q9. What is Data Partitioning and how does it help performance in DWH.mp4
16.6 MB
~Get Your Files Here !/4 - Section 4 Big Data Ecosystem (15 Questions)/1 -Q1. What is the difference between (HDFS) and traditional file systems.mp4
14.1 MB
~Get Your Files Here !/4 - Section 4 Big Data Ecosystem (15 Questions)/10 -Q10. How does Checkpointing and Caching work in Spark, and why are they importan.mp4
13.4 MB
~Get Your Files Here !/4 - Section 4 Big Data Ecosystem (15 Questions)/11 -Q11. What is the difference between Batch Processing and Stream Processing.mp4
10.4 MB
~Get Your Files Here !/4 - Section 4 Big Data Ecosystem (15 Questions)/12 -Q12. Explain Spark Structured Streaming and how it handles real-time data.mp4
24.6 MB
~Get Your Files Here !/4 - Section 4 Big Data Ecosystem (15 Questions)/13 -Q13. What are Partitions in Spark, and how do they affect performance.mp4
12.7 MB
~Get Your Files Here !/4 - Section 4 Big Data Ecosystem (15 Questions)/14 -Q14. What are some common Spark optimization techniques.mp4
11.7 MB
~Get Your Files Here !/4 - Section 4 Big Data Ecosystem (15 Questions)/15 -How do you handle schema evolution and semi-structured data (JSON, Avro).mp4
13.7 MB
~Get Your Files Here !/4 - Section 4 Big Data Ecosystem (15 Questions)/2 -Q2. Explain MapReduce and why it was important in the Hadoop ecosystem.mp4
19.9 MB
~Get Your Files Here !/4 - Section 4 Big Data Ecosystem (15 Questions)/3 -Q3. What are the differences between RDD, DF, and Dataset in Apache Spark.mp4
14.2 MB
~Get Your Files Here !/4 - Section 4 Big Data Ecosystem (15 Questions)/4 -Q4. Explain lazy evaluation in Spark and why it’s useful.mp4
12.9 MB
~Get Your Files Here !/4 - Section 4 Big Data Ecosystem (15 Questions)/5 -Q5. What is a Shuffle in Spark, and how can you optimize shuffle operations.mp4
23.2 MB
~Get Your Files Here !/4 - Section 4 Big Data Ecosystem (15 Questions)/6 -Q6. Compare Spark SQL vs Hive – when would you use one over the other.mp4
18.2 MB
~Get Your Files Here !/4 - Section 4 Big Data Ecosystem (15 Questions)/7 -Q7. Explain the role of YARN vs Kubernetes in running big data jobs.mp4
11.3 MB
~Get Your Files Here !/4 - Section 4 Big Data Ecosystem (15 Questions)/8 -Q8. What are Broadcast Joins in Spark, and when should you use them.mp4
13.4 MB
~Get Your Files Here !/4 - Section 4 Big Data Ecosystem (15 Questions)/9 -Q9. What are Wide vs Narrow transformations in Spark.mp4
20.1 MB
~Get Your Files Here !/5 - Section 5 Cloud Data Engineering (15 Questions)/1 -Q1.What is the difference between Data Lake and a Data Warehouse in the cloud.mp4
18 MB
~Get Your Files Here !/5 - Section 5 Cloud Data Engineering (15 Questions)/10 -Q10. What are cross-region and cross-cloud data replication strategies.mp4
14.7 MB
~Get Your Files Here !/5 - Section 5 Cloud Data Engineering (15 Questions)/11 -Q11. How do you implement data governance and compliance in cloud pipelines.mp4
14.3 MB
~Get Your Files Here !/5 - Section 5 Cloud Data Engineering (15 Questions)/12 -Q12. What are managed streaming services.mp4
12.3 MB
~Get Your Files Here !/5 - Section 5 Cloud Data Engineering (15 Questions)/13 -Q13. How does CDC (Change Data Capture) work in cloud-native tools.mp4
11.5 MB
~Get Your Files Here !/5 - Section 5 Cloud Data Engineering (15 Questions)/14 -Q14. Explain Lakehouse architectures in the cloud.mp4
12.8 MB
~Get Your Files Here !/5 - Section 5 Cloud Data Engineering (15 Questions)/15 -Q15. How do you monitor, log, and troubleshoot cloud data pipelines effectively.mp4
14.3 MB
~Get Your Files Here !/5 - Section 5 Cloud Data Engineering (15 Questions)/2 -Q2. Compare AWS Glue, (ADF), and GCP Dataflow – when would you use each.mp4
14.1 MB
~Get Your Files Here !/5 - Section 5 Cloud Data Engineering (15 Questions)/3 -Q3. Explain Serverless vs Cluster-based data processing in cloud platforms.mp4
13.4 MB
~Get Your Files Here !/5 - Section 5 Cloud Data Engineering (15 Questions)/4 -Q4. What are best practices for designing data pipelines in the cloud.mp4
13.4 MB
~Get Your Files Here !/5 - Section 5 Cloud Data Engineering (15 Questions)/5 -Q5. How do you implement data partitioning and clustering in cloud warehouses.mp4
15.3 MB
~Get Your Files Here !/5 - Section 5 Cloud Data Engineering (15 Questions)/6 -Q6. What is auto-scaling, and how does it benefit cloud data pipelines.mp4
12.1 MB
~Get Your Files Here !/5 - Section 5 Cloud Data Engineering (15 Questions)/7 -Q7. Compare Snowflake vs BigQuery vs Redshift – strengths and weaknesses.mp4
15.6 MB
~Get Your Files Here !/5 - Section 5 Cloud Data Engineering (15 Questions)/8 -Q8. How does cost optimization work in cloud data engineering.mp4
12.5 MB
~Get Your Files Here !/5 - Section 5 Cloud Data Engineering (15 Questions)/9 -Q9. Explain IAM best practices for securing cloud data pipelines.mp4
12.6 MB
~Get Your Files Here !/6 - Section 6 Data Modeling & Architecture (12 Questions)/1 -Q1. What is Data Vault modeling, and how does it compare to KimballInmon.mp4
13.7 MB
~Get Your Files Here !/6 - Section 6 Data Modeling & Architecture (12 Questions)/10 -Q10. What is a multi-tenant data warehouse.mp4
11.3 MB
~Get Your Files Here !/6 - Section 6 Data Modeling & Architecture (12 Questions)/11 -Q11. How would you design a hybrid architecture combining batch and streaming.mp4
1.8 MB
~Get Your Files Here !/6 - Section 6 Data Modeling & Architecture (12 Questions)/12 -Q12. What are best practices for designing metadata-driven architectures.mp4
13.3 MB
~Get Your Files Here !/6 - Section 6 Data Modeling & Architecture (12 Questions)/2 -Q2. How do you design a schema for a real-time analytics pipeline.mp4
12.6 MB
~Get Your Files Here !/6 - Section 6 Data Modeling & Architecture (12 Questions)/3 -Q3. Difference between Normalization and Denormalization in data modeling.mp4
12.7 MB
~Get Your Files Here !/6 - Section 6 Data Modeling & Architecture (12 Questions)/4 -Q4. How do surrogate keys and natural keys differ, and when should each be used.mp4
12.7 MB
~Get Your Files Here !/6 - Section 6 Data Modeling & Architecture (12 Questions)/5 -Q5. How do you handle many-to-many relationships in data models.mp4
11.2 MB
~Get Your Files Here !/6 - Section 6 Data Modeling & Architecture (12 Questions)/6 -Q6. What is a Bridge Table, and when is it used in dimensional modeling.mp4
10.2 MB
~Get Your Files Here !/6 - Section 6 Data Modeling & Architecture (12 Questions)/7 -Q7. How do you design a schema for slowly arriving data.mp4
14.5 MB
~Get Your Files Here !/6 - Section 6 Data Modeling & Architecture (12 Questions)/8 -Q8. What are conformed dimensions.mp4
13.2 MB
~Get Your Files Here !/6 - Section 6 Data Modeling & Architecture (12 Questions)/9 -Q9. How do you approach schema evolution in dimensional models.mp4
12 MB
~Get Your Files Here !/7 - Section 7 Python & Data Engineering Coding (10 Questions)/1 -Q1. How do you handle large datasets in Python without running out of memory.mp4
12.1 MB
~Get Your Files Here !/7 - Section 7 Python & Data Engineering Coding (10 Questions)/2 -Q2. What is the difference between Pandas DataFrame vs PySpark DataFrame.mp4
11.8 MB
~Get Your Files Here !/7 - Section 7 Python & Data Engineering Coding (10 Questions)/3 -Q3. How do you handle schema evolution in PySpark DataFrames.mp4
12.9 MB
~Get Your Files Here !/7 - Section 7 Python & Data Engineering Coding (10 Questions)/4 -Q4. How do you optimize PySpark jobs written in Python.mp4
15.7 MB
~Get Your Files Here !/7 - Section 7 Python & Data Engineering Coding (10 Questions)/5 -Q6. How do you implement error handling and retries in ETL pipelines.mp4
15.7 MB
~Get Your Files Here !/7 - Section 7 Python & Data Engineering Coding (10 Questions)/6 -Q7. Data in different formats (CSV, JSON, Parquet, Avro) using pythonPySpark.mp4
15.8 MB
~Get Your Files Here !/7 - Section 7 Python & Data Engineering Coding (10 Questions)/7 -Q8. Broadcast variables and accumulators in PySpark, and when would you use them.mp4
10.8 MB
~Get Your Files Here !/7 - Section 7 Python & Data Engineering Coding (10 Questions)/8 -Q9. How do you implement unit testing and CICD for Python-based data pipelines.mp4
12.1 MB
~Get Your Files Here !/7 - Section 7 Python & Data Engineering Coding (10 Questions)/9 -Q10. How do you use Python for orchestrating pipelines.mp4
10 MB
~Get Your Files Here !/8 - Section 8 System Design for Data Engineers (8 Questions)/1 -Q1. How would you design a real-time data pipeline (end-to-end architecture).mp4
20.3 MB
~Get Your Files Here !/8 - Section 8 System Design for Data Engineers (8 Questions)/2 -Q2. How do you design a batch data pipeline for large-scale processing.mp4
10 MB
~Get Your Files Here !/8 - Section 8 System Design for Data Engineers (8 Questions)/3 -Q3. What’s the difference between streaming vs batch pipelines, and when to use.mp4
19.4 MB
~Get Your Files Here !/8 - Section 8 System Design for Data Engineers (8 Questions)/4 -Q4. data ingestion system for heterogeneous sources (APIs, DBs, files, streams).mp4
14.5 MB
~Get Your Files Here !/8 - Section 8 System Design for Data Engineers (8 Questions)/5 -Q5. How do you ensure fault tolerance and reliability in data pipelines.mp4
21.8 MB
~Get Your Files Here !/8 - Section 8 System Design for Data Engineers (8 Questions)/6 -Q6. Design a data lakehouse architecture for both BI and ML use cases.mp4
5.6 MB
~Get Your Files Here !/8 - Section 8 System Design for Data Engineers (8 Questions)/7 -Q7. backpressure and scaling in streaming systems (Kafka, Spark Streaming).mp4
20.5 MB
~Get Your Files Here !/8 - Section 8 System Design for Data Engineers (8 Questions)/8 -Q8. data lineage, observability, and monitoring in large data platforms.mp4
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