Master Databricks: Data Engineer Professional Certification
Build production-ready lakehouse pipelines and advance your data engineering career
Created by Soumyadeep Dey
Gain practical skills to build and manage data engineering pipelines using Databricks. Learn how to design lakehouse architectures, handle both batch and streaming data, and apply best practices for security and governance. Prepare for Databricks certification by working through real-world scenarios.
Packt | Sep 2026 | 1941 min
What You Will Learn
You will start with foundational concepts like workspace setup and Delta tables, then move step by step through ingestion, processing, orchestration, and security. Guided demonstrations and hands-on exercises help you connect each skill to a real Customer 360 project, so you build confidence as you progress.
Key Features
- Design and implement Delta table lakehouse solutions for reliable data storage
- Build and orchestrate robust pipelines for batch and streaming data processing
- Apply security and governance with Unity Catalog and prepare for certification
Target Audience
Ideal for data engineers, architects, analysts, and technical managers who want to deepen their Databricks skills. If you are comfortable with Python, PySpark, SQL, and basic Azure concepts, you will benefit most. This course is also a great fit if you are preparing for Databricks data engineering certification.
