01
End-to-End Databricks Data Pipeline
Build an end-to-end pipeline using Databricks, PySpark, SQL, Delta Lake, and Lakehouse architecture.
DatabricksPySparkSQLDelta Lake
Databricks Data Engineering & Lakehouse Program
Build practical Data Engineering and Databricks skills through an intensive 2-month program covering Python, SQL, Apache Spark, PySpark, Databricks, Delta Lake, Lakehouse Architecture, ETL pipelines, Unity Catalog, workflows, and cloud integration. Gain hands-on experience building and optimizing modern data pipelines, working with large datasets, implementing Bronze → Silver → Gold architectures, and developing an industry-oriented capstone project using Databricks and modern Lakehouse technologies.
Duration
2 Months
Case Studies
20 +
Training
Online/Offline
Let's Get You Enrolled
Trusted by learners and hiring partners across the industry
Our growing community of learners and industry connections reflects our commitment to practical, career-focused training. With 15K+ learners and 115+ hiring partners, iBridge360 helps bridge the gap between technical learning and real-world career opportunities.
- 15K+Learners
- 115+Hiring Partners
Databricks Data Engineering Course Curriculum
Learn Databricks Data Engineering and Lakehouse technologies through a structured 8-week curriculum covering Python, SQL, Apache Spark, PySpark, Databricks, Delta Lake, Lakehouse Architecture, ETL pipelines, Unity Catalog, cloud integration, and industry-oriented data engineering.
Data Engineering Fundamentals
Build a foundation in modern data engineering — ETL/ELT, pipelines, ingestion, transformation, and architecture.
Topics Covered- Data Engineering Fundamentals
- Modern Data Engineering Concepts
- ETL & ELT
- Data Pipelines
- Structured Data
- Unstructured Data
- Data Ingestion
- Data Transformation
- Data Processing Concepts
- Modern Data Engineering Architecture
Data Engineering Fundamentals
Build a foundation in modern data engineering — ETL/ELT, pipelines, ingestion, transformation, and architecture.
Topics Covered
- Data Engineering Fundamentals
- Modern Data Engineering Concepts
- ETL & ELT
- Data Pipelines
- Structured Data
- Unstructured Data
- Data Ingestion
- Data Transformation
- Data Processing Concepts
- Modern Data Engineering Architecture
Why Choose iBridge360?
We go beyond learning – we build your career.
- Industry-Aligned Curriculum
Our curriculum is designed in collaboration with industry experts to match current trends and future job requirements.
- Practical, Hands-On Learning
Learn by doing! Get hands-on experience with tools, technologies, and real-time scenarios.
- Real-World Application Development
Work on real-world projects that help you apply concepts and build job-ready applications.
- Experienced Technical Mentors
Learn from seasoned professionals with industry experience and a passion for mentoring.
- Project-Based Learning
Build strong portfolios with industry-grade projects that showcase your skills and problem-solving ability.
- LMS Access
Get 24/7 access to our advanced LMS platform with recorded sessions, resources, quizzes, and more.
- 100% Placement Assistance
We support you at every step with resume building, mock interviews, and job placements.
- Online & Offline Learning Options
Choose the mode that suits you best – learn online from anywhere or join offline classes near you.
Earn Your Databricks Data Engineering Certificate
Receive an iBridge360 course completion certificate that validates your practical learning across Databricks, Apache Spark, PySpark, SQL, Delta Lake, Lakehouse Architecture, ETL pipelines, Unity Catalog, and cloud-based data engineering.
Sample certificate
Hands-On Learning
Build Real-World Data Engineering Pipelines
A visual look at the pipelines you will build — project, technologies, data flow, what you ship, and the outcome.
02
Medallion Architecture Pipeline
Implement Bronze → Silver → Gold with ingestion, transformation, validation, and business-ready layers.
Delta LakeLakehousePySpark
03
Incremental Data Processing Pipeline
Process new and changed data using modern Databricks incremental data engineering practices.
DatabricksETLDelta Lake
04
Databricks ETL Workflow
Create and schedule Databricks Jobs and Workflows for automated ETL processing.
Databricks JobsWorkflowsETL
05
Cloud Data Integration
Connect cloud storage and external sources into a practical cloud-integrated data pipeline.
AWSAzureDatabricks
06
Industry-Level Capstone Project
Deliver a complete Databricks Data Engineering and Lakehouse project covering the full program stack.
DatabricksPySparkDelta LakeLakehouse
Social Proof
Trusted by Real Learners
Honest feedback from professionals who completed our programs — structured training, mentor support, and career outcomes that speak for themselves.
- 500+Learners Trained
- 4.9/5Average Rating
- 100%Real Learner Stories
The Data Engineering program prepared me for real industry work. With strong fundamentals and placement support from iBridge360, I am now working as a GIS Analyst at Deduce Technologies.
iBridge360’s Data Engineering batch helped me build practical skills and confidence. I am proud to be placed as a Data Engineer at Aroha Technologies.
Joining iBridge360 was one of the best decisions for my career. The trainers explain concepts in a simple and practical way, making it easy to understand even complex topics.
iBridge360 provides much more than just technical training. Every topic is taught with practical use cases, and the support team is responsive throughout the program.
The Data Engineering program at iBridge360 gave me the skills and confidence I needed. With strong mentorship and placement support, I am now working as a Data Analyst at Richrise Global.
Career Opportunities After a Databricks Data Engineering Course
A strong foundation in Databricks, Apache Spark, PySpark, SQL, Python, Delta Lake, Lakehouse Architecture, ETL pipelines, Unity Catalog, and cloud integration can help learners prepare for opportunities across Data Engineering and Big Data.
Data EngineerJunior Data EngineerDatabricks Data EngineerData Engineering DeveloperBig Data EngineerPySpark DeveloperSpark DeveloperETL DeveloperCloud Data EngineerData Pipeline Engineer
FAQ
Frequently Asked Questions — Databricks Data Engineering
Everything you need to know about the Databricks Data Engineering course — curriculum, learning experience, placements, and enrollment.
A Databricks Data Engineering course teaches you how to build and manage modern data pipelines using Databricks, Apache Spark, PySpark, SQL, Delta Lake, Lakehouse Architecture, ETL workflows, and cloud technologies.
Databricks is a cloud-based data and AI platform used for data engineering, data processing, analytics, machine learning, and Lakehouse-based data architectures.
Lakehouse Architecture combines capabilities associated with data lakes and data warehouses to provide a unified platform for storing, processing, managing, and analyzing data. The program covers Medallion Architecture with Bronze, Silver, and Gold layers.
The program is suitable for students, freshers, graduates, working professionals, aspiring data engineers, Python developers, SQL professionals, and professionals looking to build modern data engineering skills.
No. The program starts with Data Engineering fundamentals, Python, SQL, and Apache Spark before progressing into Databricks, Delta Lake, Lakehouse Architecture, workflows, Unity Catalog, and cloud integration.
Build Your Databricks Data Engineering Career
Build practical Databricks, PySpark, SQL, Delta Lake, and Lakehouse Architecture skills through hands-on training, real-world data engineering projects, instructor-led learning, and career support from iBridge360.
Speak with an iBridge360 course advisor to get details about the curriculum, upcoming batches, fees, payment options, and enrollment.