
AZURE Data Engineer Training Program
Course Overview
The Azure Data Engineer Course at IIBS is meticulously designed for aspiring data professionals looking to master Microsoft Azure’s data engineering tools and services. The course provides comprehensive training in data integration, transformation, and storage using Azure tools like Data Factory, Synapse Analytics, and Databricks. It combines theory with hands-on labs to ensure practical proficiency in building scalable and efficient data solutions.
3 Months Guaranteed Internship with prospect of Hiring
What You’ll Learn in Azure Data Engineer Course
- Fundamentals of Azure architecture and cloud computing.
- Mastering Azure Data Factory for data orchestration and pipeline automation.
- Advanced data modeling and query optimization in Azure Synapse Analytics.
- Real-time data processing with Azure Databricks.
- Data storage solutions with Azure Data Lake and Blob Storage.
- Security and compliance using Azure Role-Based Access Control (RBAC) and encryption.
- Monitoring and troubleshooting Azure data services.
- Preparing for the Azure Data Engineer Associate Certification (DP-203).
Azure Data Engineer Training Advantages
- Practical experience with hands-on projects.
- Industry-relevant curriculum aligned with the latest Azure trends.
- Mentorship from certified Azure experts.
- Preparation for high-demand certifications like DP-203.
- Access to real-world use cases and scenarios for better understanding.
Why Choose IIBS for Azure Data Engineer Training in Canada
- Expert Trainers: Learn from Azure-certified professionals with industry experience.
- Flexible Learning Options: On-campus and online training available for convenience.
- Comprehensive Support: Access to study materials, mock tests, and career guidance.
- Affordable Pricing: Competitive course fees with high ROI on career growth.
- Recognized Certification: Gain certification that is valued across Canada and globally.
Skills That Boost Azure Data Engineer Salaries
- Proficiency in ETL pipelines and data transformation tools.
- Expertise in big data technologies like Apache Spark and Azure Databricks.
- Advanced knowledge of SQL, Python, and Power BI integration with Azure.
- Strong understanding of data governance, security, and compliance frameworks.
- Certification in DP-203: Azure Data Engineer Associate, increasing employability and salary potential.
Azure Data Engineer Online Course Details
- Mode: Online live instructor-led classes.
- Eligibility: Open to IT professionals, graduates, and beginners with basic cloud knowledge.
- Materials Provided: Recorded sessions, eBooks, and project files.
- Assessment: Weekly assignments, capstone projects, and mock exams.
How Azure Data Engineer Course Can Help Beginners Grow in Their Career
The course is beginner-friendly, with foundational modules on Azure and data engineering concepts. Hands-on labs and projects provide practical skills to build confidence in real-world applications. With industry-aligned training and certification prep, beginners can unlock lucrative roles in data engineering and advance to senior positions in analytics and big data.
Job Opportunities After Completing Azure Data Engineer Certification
- Data Engineer
- Big Data Engineer
- Cloud Data Specialist
- ETL Developer
- Data Analyst
- AI & Machine Learning Data Engineer
- Companies actively hiring Azure Data Engineers include Microsoft, AWS, Google Cloud, IBM, and leading tech startups.
Pre- Requisites
Basic Knowledge of Any Programming Language
Disclaimer:
This program does not require approval under the Ontario Career Colleges Act, 2005.
Curriculum
- 1 Section
- 10 Lessons
- 10 Weeks
- 1. Introduction to Azure Data EngineeringThe course provides comprehensive training in data integration, transformation, and storage using Azure tools like Data Factory, Synapse Analytics, and Databricks. It combines theory with hands-on labs to ensure practical proficiency in building scalable and efficient data solutions.10
- 1.02. Azure Storage Solutions
- 1.13. Azure SQL Database and Data Solutions
- 1.24. NoSQL Databases with Azure Cosmos DB
- 1.35. Data Ingestion with Azure Data Factory
- 1.46. Data Warehousing with Azure Synapse Analytics
- 1.57. Big Data Analytics with Apache Spark
- 1.68. Azure Databricks for Data Engineering
- 1.79. Delta Lake and Data Warehousing in Azure Databricks
- 1.810. Real-time Data Processing with Azure Stream Analytics
- 1.911. Business Scenarios and Labs