Skip to main content

Data Engineering Interview Prep

Data Engineer Interviews Introduction

Welcome to Exponent’s Data Engineering Interview Course!The Data Engineering Interview Loop Data Engineering in Big Tech

Data Modeling Questions

Introduction to Data Modeling Questions How to Answer Data Modeling Questions Rubric for Data Modeling Questions Data Modeling Fundamentals

Introduction to Gathering Business Requirements Recognizing the Core Business Problem Analyzing Metrics Analyzing Query Patterns Defining Latency Requirements Data Volume & Scalability Considerations Data Retention Policies & Historical Data Management Example: Business Requirements Gathering

Creating High-Level Model Diagrams Evolving Models Based on Changing Requirements Practice: E-commerce Platform Practice: Video Streaming Service Practice: Cloud Services Platform Practice: Online Advertising Platform

Dimension Table Design Slowly Changing Dimensions (SCDs)Advanced Dimension Design Techniques

Transaction Fact Tables Periodic Snapshot Fact Tables Accumulating Snapshot Fact Tables Bridge Tables (Factless Fact Tables)

Date-Based Partitioning Indexing Strategies Aggregates and Materialized Views

Design a Data Warehouse Schema for Customer Support Design a Data Warehouse Schema for Airbnb Design a Data Warehouse Schema for Stripe Design a Data Warehouse Schema for Instagram Design a Data Warehouse Schema for Amazon

Data Pipeline Design Questions

Introduction to ETL Design Questions How to Answer ETL Design Questions Rubric for ETL Questions ETL Pipeline Tools & Technologies ETL vs. ELT

Data Sources Data Destinations

How to Approach the Data Extraction Stage Real-Time Data Extraction High-Volume Batch Extraction Semi-Structured or Unstructured Data Extraction High-Quality Data Extraction (Critical Data)Data Extraction Tips & Takeaways

How to Approach the Data Transformation Stage Real-Time Data Transformation Batch Data Transformation Data Cleansing & Enrichment Transformation Data Transformation Tips & Takeaways

How to Approach the Data Loading Stage Real-Time Data Loading Batch Data Loading Data Loading into Data Lakes High-Quality Data Loading (Critical Data)Data Loading Tips & Takeaways

Performance Optimization Strategies Scaling an ETL Pipeline Making your ETL Pipeline Fault-Tolerant

Design a Data Pipeline for Reality Labs Design Netflix's Clickstream Data Pipeline Design an ETL Pipeline for a ML Platform for AWS

SQL Interviews

Introduction to SQL and Its History How to Answer SQL Interview Questions Relationships and Relational Database Concepts

How to Prep SQL Interviews Fast

SQL Interview Patterns

SQL Interview Test Questions

Joins & Duplicate Control

Window Functions Essentials

Grouping, Having, Conditional Aggregation & NULL-Safe Metrics

Subqueries & CTEs

Dates & Bucketing

How to Perform in a SQL Interview

Basic SQL Syntax The WHERE Clause Logical operators: AND, OR, NOT Finding similar results with LIKE and Wildcards Querying Missing Values with IS NULL and IS NOT NULL Sorting data with ORDER BY Using LIMIT and OFFSET IN and BETWEEN

Introduction to SQL Aggregations GROUP BY and HAVING Counting with COUNT and COUNT(DISTINCT)SUM Calculating Average, Min, and Max with SQL Conditional values with CASE WHEN ... ELSE Working with Date and Time: DATE_TRUNC, DATEDIFF, and more

Joins Inner Joins LEFT and RIGHT Joins Full Outer Joins Unions Cross Joins Subqueries and Derived tables Common Table Expressions (CTEs)

Introduction to Window Functions Window functions: RANK and DENSE RANK Window functions: ROW_NUMBER Window functions: LAG

Introduction to SQL Practice Questions Top Earning Employees

Monthly Post Success Analysis

High Volume Low Success

Marketing Campaign Duration

Find Average Purchase Value

Survey Sampling

Lyft Ride Requests

E-commerce: Units Ordered Yesterday

E-commerce: Units Ordered Last Week

E-commerce: Earliest Order by Customer

Total Transaction Volume

Top Salaries by Department

Employee Hierarchy

Post Success After Failure

Find Top Customer by Year

Find Monthly Revenue Growth

Initial Contact Attribution

Ranking Salary Deviations

Game Leaderboard

Amazon Order Status

Duolingo Leaderboards

Validate Bitcoin Transactions

E-commerce: Second Earliest Order

SQL Stored Procedures

Software Engineering Coding Questions

Tips for Acing Technical Coding Interviews Bonus: AI-Assisted Coding Round at Meta Choosing the Right Language for Your Technical Interview

Practice: Move Zeros to End of Array

Practice: Remove Duplicates in String

Practice: Contiguous Subarray Sum

How to Prep for a Coding Interview Fast

Arrays, Two Pointers, Stacks, and Sliding Window

Binary Search, Heaps, and Intervals

Linked Lists, Trees, and Tries

Backtracking, Graphs, and DP

How to Answer Any Coding Interview Question

Understanding Big O Notation Analyzing Time Complexity Analyzing Space Complexity Optimizing Your Algorithms

Introduction to Coding Patterns

Two Pointer Prefix Sum Tortoise & Hare Sliding Window Two Pass Bit Manipulation Cyclic Sort

Move Zeros to End of Array

Merge Intervals

Product of Array Except Self

Copy a Spiral Matrix

Maximum Subarray Sum

Container with Most Water

Trap Rain Water

Contiguous Subarray Sum

Difference of Arrays

Smallest Missing Integer

Sorting Algorithms Binary Search Number Finder

Find the Duplicates

K-Messed Array Sort

Rotations in Circularly Sorted Array

Koko Eating Bananas

Find the Peak Element

Most Common Words

Valid Palindrome

Validate IP Address

Decrypt Message

Minimum Window Substring

Serialize and Deserialize Strings

Longest Substring Without Repeat

Remove Duplicates in String

Longest Palindromic Substring

Graphs Graph Search

Degrees of Friendship

Sentence Similarity

Number of Islands

Rotting Oranges

Course Schedule

Redundant Connection

Trees Balanced Tree

Diameter of a Tree

Validate Binary Search Tree

Construct Binary Tree

Lowest Common Ancestor of a Binary Tree

Find Largest Smaller BST Key

BST Successor Search

Stacks Queues Min Stack

Reverse a Sentence

Valid Parentheses

Daily Temperatures

Shortest Cell Path

Conversion Ratios

Linked Lists Reverse Linked List

Linked List Cycle

Merge Sort Doubly Linked List

Merge Linked Lists

Heaps Find Largest Numbers

Buy and Sell Stock

Find Median from Data Stream

Meta Onsite Coding Round (Kth Largest Element in an Array and Minimum Remove to Make Valid Parentheses)

Recursion Fibonacci Numbers

Generate Parentheses

Flatten a Dictionary

Build a Calculator

Combination Sum

Implement Promise.all()

Build a Basic Regex Parser

Dynamic Programming Climbing Stairs

Knapsack Problem

List the Difference Between Two Strings

Partition Equal Subset Sum

Behavioral Interviews: A Practical Guide for Engineers

Welcome to Behavioral Interviewing for Engineers

Introduction to Engineering Behavioral Interviews Avoiding Downleveling Approaching the 3 Question Types Elevating Your Past Projects Habits of High-Performing Candidates Be Seen as a Senior Engineer (Part 1: Mock Interview)Be Seen as a Senior Engineer (Part 2: Analysis)

Why Engineers Fail Interviews The Question Beneath the Question Measuring Culture Fit Demonstrating Impact Introducing Yourself: Do's and Don'ts "Why Our Company?"Prevent Instant Rejection

Know the Rules So You Can Break Them Types of Interviewers Sharing the Optimal Level of Detail

Stop Sounding Like a Robot

Reversing a Downlevel Offer

Be Seen as a Staff+ Engineer (Part 1)Be Seen as a Staff+ Engineer (Part 2: Analysis)Do You Meet the Senior+ Bar? (Part 1)Do You Meet the Senior+ Bar? (Part 2: Analysis)Meta Onsite Behavioral Round Demonstrating Ownership (Part 1)Demonstrating Ownership (Part 2: Analysis)

Practice Behavioral Interviews

Unlock full course

Data Engineering Interview Prep

Data Engineer Interviews Introduction

Welcome to Exponent’s Data Engineering Interview Course!The Data Engineering Interview Loop Data Engineering in Big Tech

Data Modeling Questions

Introduction to Data Modeling Questions How to Answer Data Modeling Questions Rubric for Data Modeling Questions Data Modeling Fundamentals

Introduction to Gathering Business Requirements Recognizing the Core Business Problem Analyzing Metrics Analyzing Query Patterns Defining Latency Requirements Data Volume & Scalability Considerations Data Retention Policies & Historical Data Management Example: Business Requirements Gathering

Creating High-Level Model Diagrams Evolving Models Based on Changing Requirements Practice: E-commerce Platform Practice: Video Streaming Service Practice: Cloud Services Platform Practice: Online Advertising Platform

Dimension Table Design Slowly Changing Dimensions (SCDs)Advanced Dimension Design Techniques

Transaction Fact Tables Periodic Snapshot Fact Tables Accumulating Snapshot Fact Tables Bridge Tables (Factless Fact Tables)

Date-Based Partitioning Indexing Strategies Aggregates and Materialized Views

Design a Data Warehouse Schema for Customer Support Design a Data Warehouse Schema for Airbnb Design a Data Warehouse Schema for Stripe Design a Data Warehouse Schema for Instagram Design a Data Warehouse Schema for Amazon

Data Pipeline Design Questions

Introduction to ETL Design Questions How to Answer ETL Design Questions Rubric for ETL Questions ETL Pipeline Tools & Technologies ETL vs. ELT

Data Sources Data Destinations

How to Approach the Data Extraction Stage Real-Time Data Extraction High-Volume Batch Extraction Semi-Structured or Unstructured Data Extraction High-Quality Data Extraction (Critical Data)Data Extraction Tips & Takeaways

How to Approach the Data Transformation Stage Real-Time Data Transformation Batch Data Transformation Data Cleansing & Enrichment Transformation Data Transformation Tips & Takeaways

How to Approach the Data Loading Stage Real-Time Data Loading Batch Data Loading Data Loading into Data Lakes High-Quality Data Loading (Critical Data)Data Loading Tips & Takeaways

Performance Optimization Strategies Scaling an ETL Pipeline Making your ETL Pipeline Fault-Tolerant

Design a Data Pipeline for Reality Labs Design Netflix's Clickstream Data Pipeline Design an ETL Pipeline for a ML Platform for AWS

SQL Interviews

Introduction to SQL and Its History How to Answer SQL Interview Questions Relationships and Relational Database Concepts

How to Prep SQL Interviews Fast

SQL Interview Patterns

SQL Interview Test Questions

Joins & Duplicate Control

Window Functions Essentials

Grouping, Having, Conditional Aggregation & NULL-Safe Metrics

Subqueries & CTEs

Dates & Bucketing

How to Perform in a SQL Interview

Basic SQL Syntax The WHERE Clause Logical operators: AND, OR, NOT Finding similar results with LIKE and Wildcards Querying Missing Values with IS NULL and IS NOT NULL Sorting data with ORDER BY Using LIMIT and OFFSET IN and BETWEEN

Introduction to SQL Aggregations GROUP BY and HAVING Counting with COUNT and COUNT(DISTINCT)SUM Calculating Average, Min, and Max with SQL Conditional values with CASE WHEN ... ELSE Working with Date and Time: DATE_TRUNC, DATEDIFF, and more

Joins Inner Joins LEFT and RIGHT Joins Full Outer Joins Unions Cross Joins Subqueries and Derived tables Common Table Expressions (CTEs)

Introduction to Window Functions Window functions: RANK and DENSE RANK Window functions: ROW_NUMBER Window functions: LAG

Introduction to SQL Practice Questions Top Earning Employees

Monthly Post Success Analysis

High Volume Low Success

Marketing Campaign Duration

Find Average Purchase Value

Survey Sampling

Lyft Ride Requests

E-commerce: Units Ordered Yesterday

E-commerce: Units Ordered Last Week

E-commerce: Earliest Order by Customer

Total Transaction Volume

Top Salaries by Department

Employee Hierarchy

Post Success After Failure

Find Top Customer by Year

Find Monthly Revenue Growth

Initial Contact Attribution

Ranking Salary Deviations

Game Leaderboard

Amazon Order Status

Duolingo Leaderboards

Validate Bitcoin Transactions

E-commerce: Second Earliest Order

SQL Stored Procedures

Software Engineering Coding Questions

Tips for Acing Technical Coding Interviews Bonus: AI-Assisted Coding Round at Meta Choosing the Right Language for Your Technical Interview

Practice: Move Zeros to End of Array

Practice: Remove Duplicates in String

Practice: Contiguous Subarray Sum

How to Prep for a Coding Interview Fast

Arrays, Two Pointers, Stacks, and Sliding Window

Binary Search, Heaps, and Intervals

Linked Lists, Trees, and Tries

Backtracking, Graphs, and DP

How to Answer Any Coding Interview Question

Understanding Big O Notation Analyzing Time Complexity Analyzing Space Complexity Optimizing Your Algorithms

Introduction to Coding Patterns

Two Pointer Prefix Sum Tortoise & Hare Sliding Window Two Pass Bit Manipulation Cyclic Sort

Move Zeros to End of Array

Merge Intervals

Product of Array Except Self

Copy a Spiral Matrix

Maximum Subarray Sum

Container with Most Water

Trap Rain Water

Contiguous Subarray Sum

Difference of Arrays

Smallest Missing Integer

Sorting Algorithms Binary Search Number Finder

Find the Duplicates

K-Messed Array Sort

Rotations in Circularly Sorted Array

Koko Eating Bananas

Find the Peak Element

Most Common Words

Valid Palindrome

Validate IP Address

Decrypt Message

Minimum Window Substring

Serialize and Deserialize Strings

Longest Substring Without Repeat

Remove Duplicates in String

Longest Palindromic Substring

Graphs Graph Search

Degrees of Friendship

Sentence Similarity

Number of Islands

Rotting Oranges

Course Schedule

Redundant Connection

Trees Balanced Tree

Diameter of a Tree

Validate Binary Search Tree

Construct Binary Tree

Lowest Common Ancestor of a Binary Tree

Find Largest Smaller BST Key

BST Successor Search

Stacks Queues Min Stack

Reverse a Sentence

Valid Parentheses

Daily Temperatures

Shortest Cell Path

Conversion Ratios

Linked Lists Reverse Linked List

Linked List Cycle

Merge Sort Doubly Linked List

Merge Linked Lists

Heaps Find Largest Numbers

Buy and Sell Stock

Find Median from Data Stream

Meta Onsite Coding Round (Kth Largest Element in an Array and Minimum Remove to Make Valid Parentheses)

Recursion Fibonacci Numbers

Generate Parentheses

Flatten a Dictionary

Build a Calculator

Combination Sum

Implement Promise.all()

Build a Basic Regex Parser

Dynamic Programming Climbing Stairs

Knapsack Problem

List the Difference Between Two Strings

Partition Equal Subset Sum

Behavioral Interviews: A Practical Guide for Engineers

Welcome to Behavioral Interviewing for Engineers

Introduction to Engineering Behavioral Interviews Avoiding Downleveling Approaching the 3 Question Types Elevating Your Past Projects Habits of High-Performing Candidates Be Seen as a Senior Engineer (Part 1: Mock Interview)Be Seen as a Senior Engineer (Part 2: Analysis)

Why Engineers Fail Interviews The Question Beneath the Question Measuring Culture Fit Demonstrating Impact Introducing Yourself: Do's and Don'ts "Why Our Company?"Prevent Instant Rejection

Know the Rules So You Can Break Them Types of Interviewers Sharing the Optimal Level of Detail

Stop Sounding Like a Robot

Reversing a Downlevel Offer

Be Seen as a Staff+ Engineer (Part 1)Be Seen as a Staff+ Engineer (Part 2: Analysis)Do You Meet the Senior+ Bar? (Part 1)Do You Meet the Senior+ Bar? (Part 2: Analysis)Meta Onsite Behavioral Round Demonstrating Ownership (Part 1)Demonstrating Ownership (Part 2: Analysis)

Practice Behavioral Interviews

Unlock full course

Design a Data Warehouse Schema for Customer Support

Premium

In this video, a data engineer answers the question "Design a data warehouse to help a customer support team manage tickets."

/courses/data-engineering/data-modeling-interviews/customer-support-data-model