Azure Data Engineer Online Training

What is Azure Data Engineer : “Azure Data Engineer” is a professional who designs, builds, and manages scalable data solutions on Microsoft Azure. They handle data storage, processing, integration, and security to enable analytics and business insights using Azure services like Data Factory, Data Lake, Synapse, and Databricks.

Course Features

Real-time Use cases

   24/7 Lifetime Support

  Certification Based Curriculum

   Flexible Schedules

 One-on-one doubt clearing

 Career path guidance

  • Learn & practice Course Concepts
  • Course Completion Certificate
  • Earn an employer-recognized Course Completion certificate by Ziventra.
  • Resume & LinkedIn Profile
  • Mock Interview
  • Qualify for in-demand job titles
  • Career support
  • Work Support

Azure Data Engineer Online Training Content

You will be exposed to the complete VMware View Training course details in the below sections.

Topic-wise Content Distribution

 Introduction to Azure Data Engineering

  • Overview
    of Azure Data Engineer role
  • Introduction
    to Microsoft Azure and cloud concepts
  • Understanding
    Azure Data services

Azure Data Storage Solutions

  • Azure
    Data Lake Storage Gen2
  • Azure
    Blob Storage
  • Azure
    SQL Database and Azure Synapse Analytics

 Data Ingestion and Integration

  • Azure
    Data Factory fundamentals
  • Building
    pipelines and data workflows
  • Using
    Azure Event Hubs for real-time data streaming

Data Processing and Transformation

  • Introduction
    to Azure Databricks
  • Data
    transformation with Apache Spark on Azure
  • Working
    with Azure Stream Analytics

Data Security and Monitoring

  • Implementing
    data security and access controls
  • Monitoring
    and troubleshooting Azure data services
  • Performance
    tuning and optimization

Preparing for Microsoft DP-203 Certification

  • Overview
    of DP-203 exam objectives
  • Practice
    tests and exam strategies
  • Real-world
    scenarios and case studies

Request More information


Hands on Azure Data Engineer Projects

Our Azure Data Engineer Training course aims to deliver quality training that covers solid fundamental knowledge on core concepts with a practical approach. Such exposure to the current industry use-cases and scenarios will help learners scale up their skills and perform real-time projects with the best practices.

Training Options

Choose your own comfortable learning

experience.

On-Demand Training

Self-Paced Videos

  • 30 hours of  Training videos
  • Curated and delivered by industry experts
  • 100% practical-oriented classes
  • Includes resources/materials
  • Latest version curriculum with covered
  • Get one year access to the LMS
  • Learn technology at your own pace
  • 24×7 learner assistance
  • Certification guidance provided
  • Post sales support by our community

Live Online (Instructor-Led)

30 hrs of Remote Classes in Zoom/Google meet

2025 Batches 
Weekdays / Weekends
+ Includes Self-Paced
    • Live demonstration of the industry-ready skills.
    • Virtual instructor-led training (VILT) classes.
    • Real-time projects and certification guidance.

For Corporates

Empower your team with new skills to Enhance their performance and productivity.

Corporate Training

  • Customized course curriculum as per your team’s specific needs
  • Training delivery through self-Paced videos, live Instructor-led training through online, on-premise at Mindmajix or your office facility
  • Resources such as slides, demos, exercises, and answer keys included
  • Complete guidance on obtaining certification
  • Complete practical demonstration and discussions on industry use cases

Served 130+ Corporates

Our Training Prerequisites

Prerequteis Of Azure Data Engineeer Online Training :

  • Basic Knowledge of Cloud Computing
    Familiarity with cloud concepts and services, especially Microsoft Azure fundamentals.

  • Understanding of Data Concepts
    Basic knowledge of databases, data storage, and data processing is recommended.

  • Experience with SQL
    Proficiency in writing SQL queries and understanding relational database concepts.

  • Familiarity with Programming/Scripting
    Basic skills in programming or scripting languages such as Python, PowerShell, or Scala will be helpful.

  • Analytical and Problem-Solving Skills
    Ability to analyze data problems and design data-driven solutions using cloud technologies.

Talk to our team directly
Schedule A Free Consultation