Data Engineering with Databricks
This program aligns to the Databricks Certified Data Engineer Associate track and prepares teams to perform introductory data engineering tasks on the Databricks Data Intelligence Platform. It covers ETL development with Spark SQL or PySpark, data ingestion and transformation, workload orchestration, and foundational governance practices needed for production-ready pipelines.
Certification
Databricks Certified Data Engineer Associate
Delivery
Virtual, On-site, or Hybrid
Duration
4 days
Product
Databricks Data Intelligence Platform
Role
Data Engineer
Databricks
Data EngineeringDelta Lake, workflows, governance
Databricks
Best Fit
Audience Profile
Who This Program Is For
Built for practitioners who need to use Databricks to complete introductory data engineering tasks including ETL development, workload orchestration, and foundational governance.
Overview
Program Summary
Databricks certification-aligned program for foundational data engineering skills across Delta Lake ingestion, workflows, Delta Live Tables, and Unity Catalog governance.
Course Outline
Complete Module Sequence
Review the full module sequence for this program, including the primary topic coverage in each module where available.
1Module 1
Lakehouse ingestion and transformation foundations
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Module 1
Lakehouse ingestion and transformation foundations
Establish the foundational patterns for loading, transforming, and managing data in the Databricks lakehouse using Delta Lake and medallion-style engineering practices.
- Data Ingestion with Delta Lake
2Module 2
Operationalize pipelines and scheduled workloads
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Module 2
Operationalize pipelines and scheduled workloads
Build reliable production workflows by orchestrating jobs, dependencies, and recurring data tasks with Databricks-native workflow tooling.
- Deploy Workloads with Databricks Workflows
3Module 3
Engineer declarative pipelines at scale
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Module 3
Engineer declarative pipelines at scale
Use Delta Live Tables to define, manage, and monitor resilient data pipelines for transformation, quality, and lifecycle management.
- Build Data Pipelines with Delta Live Tables
4Module 4
Govern data access and platform controls
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Module 4
Govern data access and platform controls
Apply core governance capabilities with Unity Catalog for access management, lineage awareness, and trusted data operations.
- Data Management and Governance with Unity Catalog
Coverage Areas
Topic Coverage
Coverage Item 1
Data Ingestion with Delta Lake
Coverage Item 2
Deploy Workloads with Databricks Workflows
Coverage Item 3
Build Data Pipelines with Delta Live Tables
Coverage Item 4
Data Management and Governance with Unity Catalog
Customization
Adapt This Program for Your Team
We can adapt this program around your team structure, platform priorities, delivery goals, and the scenarios your people need to work through in practice.
- •Use your source-system and medallion architecture scenario in the workshop
- •Add streaming ingestion or CDC emphasis for platform teams
- •Extend with governance and operating-model decisions for Unity Catalog rollout
