Consulting: Coaching: Download the checklist: #de-data-engineer Databricks & Spark Bootcamp: Modern Data Engineering on Databricks: SQL for Data Engineering: Designing Data-Intensive Applications Unlock your data engineering career in 2025 with this step-by-step blueprint! Whether you’re just starting out or looking to level up, this guide covers the essential skills, tools, and strategies you need to land high-paying, future-proof data jobs. Learn why Databricks, SQL, Delta Lake, and Spark are must-haves, and discover the real-world playbook for mastering the modern data stack. Includes interview questions, salary insights, and top resources to accelerate your journey. Book suggestions: • Designing Data-Intensive Applications Udemy suggestions: Fundamentals of Data Engineering Courses (Udemy): • Databricks & Spark Bootcamp: • Modern Data Engineering on Databricks: • SQL for Data Engineering: Databricks Free Edition: Chapters: 00:00 – Introduction: Why 2025 is the Year for Data Engineers 00:20 – The Playbook for Landing Data Jobs 00:30 – Step 1: Master SQL in Databricks 00:50 – Databricks Interview Question: SQL Joins 01:30 – Step 2: Delta Lake & Medallion Architecture 02:10 – Delta Lake Interview Question 02:40 – Step 3: Skip Pandas, Learn Spark 03:10 – Spark Interview Question: Lazy Execution 03:40 – Real-World Spark Success Story 04:20 – Salary Insights for Data Engineers 05:00 – Step 4: Automate with Databricks Workflows 05:30 – Workflow Interview Question 06:00 – Step 5: Build Projects with Business Value 06:40 – Business Impact Interview Question 07:10 – Step 6: Databricks Compute Model & Cost Optimization 07:40 – Compute Model Interview Question 08:10 – The Blueprint for Data Engineering Success 08:40 – Top Resources: Books & Courses 09:30 – Final Roadmap & Call to Action 09:50 – Outro: Build Pipelines That Matter