Data Career Interview Playbook

If you're preparing for Data Science, Data Engineering, or Data Analyst interviews, this document will help you revise everything in one place.

Instead of searching across multiple resources, this workspace gives you SQL revision + real interview questions + company scenarios in a structured format.

This is designed for:

• Students preparing for their first data job

• Professionals switching to Data roles

• Data Engineers / Analysts preparing for interviews

• Anyone with 0–5 years experience

What You'll Get

SQL Interview Cheat Sheets

Quick revision for important SQL topics including:

• SELECT, INSERT, UPDATE, DELETE

• Filtering (WHERE, LIKE, IN, BETWEEN)

• Aggregations (GROUP BY, HAVING)

• Joins with syntax and explanation

• Subqueries and CTE

Each concept includes:

• Explanation

• Syntax

• Example query

Perfect for quick revision before interviews.

75+ Role Based Interview Questions

Real questions asked for:

Data Scientist

• Machine learning fundamentals

• Feature engineering

• Model evaluation

• Experimentation

Data Engineer

• Data pipelines

• Distributed systems

• Data warehousing

• Streaming systems

Data Analyst

• KPI design

• SQL analytics

• A/B testing

• Business analysis

150+ Company Interview Questions

Interview style questions from companies like:

• Google

• Amazon

• Meta

• Microsoft

• Cognizant

• Accenture

• Capgemini

• Infosys

• TCS

• Deloitte

Each question includes:

Difficulty level: Easy, Medium, Hard

Scenario Based Interview Practice

Real scenarios like:

• Design a recommendation system

• Build a scalable data pipeline

• Analyze sudden KPI drops

• Design ETL architecture

• Detect fraud or anomalies

These questions help you prepare for system design style interviews.

Why This Product Is Useful

Instead of using 10 different resources, this gives you:

• SQL revision

• Interview question bank

• Company interview scenarios

• Structured preparation system

All in one workspace.

Perfect For

• Data Science Interview Preparation

• Data Engineer Interview Preparation

• Data Analyst Interview Preparation

• SQL Interview Practice