Azure Data Engineer Training

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868 learners

Master data engineering with MindMajix’s Azure Data Engineer training. Gain hands-on expertise through labs, projects, and real-world use cases to become a certified Azure Data Engineer.

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Azure Data Engineer Training
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Course Features

100% Money back guarantee
Two Real-time Use cases

Real-time Use cases

24/7 Lifetime Support

24/7 Lifetime Support

Certification Assistance

Certification Based Curriculum

Flexible Schedule

Flexible Schedules

One-on-onedoubtclearing

One-on-one doubt clearing

Careerpathguidance

Career path guidance

About Azure Data Engineer Course

MindMajix’s Azure Data Engineer training introduces you to data warehousing, Azure SQL database, Azure Data Lake Storage(ADLS), Databricks, resource groups, and SQL Server. You will explore Azure Data Factory (ADF), Azure Synapse Analytics, Copy Data Activity, and incremental loads. The course provides hands-on skills in implementing Slowly Changing Dimensions (SCD) and optimizing ADF pipelines. You will learn about Azure dataflows, monitors, Key Vault, Blob Storage, pivot transformations, Apache Spark clusters, and data deduplication. The training will master you in real-time data processing, staging, aggregation, and partitioning.

Completion of the training equips you to pass the following Microsoft Azure data engineering certification exams.

Prerequisites

  • Familiarity with data processing and storage concepts.

Learning Modes

  • Instructor-led live online training – 70 hours
  • Self-paced training with pre-recorded videos – 70 hours

Lab Environment

Our trainer will guide you step by step in setting up a lab environment using the Microsoft Azure free trial account. You can use this free account for 30 days.

Post-Training Support

  • In addition to the technical training, MindMajix offers learners specific programs such as interview preparation, resume building and job search assistance.
  • The programs assist learners in preparing effectively for interviews and securing a suitable role in the data engineering domain quickly.

Benefits of Azure Data Engineer Training

  • For Individuals
    • Increased Career Opportunities
      • TheirStack reports that leading companies such as Infosys, Wipro, LTIMindtree, KPMG, HCLTech, and TechMahindra utilize Microsoft Azure for their data management.
      • Enlyft says that industries such as IT and services, retail, computer software, construction and automotive use Microsoft Azure for their data management solutions.
      • The above insights show that Microsoft Azure data engineers can open doors of opportunities in diverse industries.
    • Increased salary potential: AmbitionBox states that Azure data engineers can earn a salary ranging from 4 LPA to 16 LPA in India as of 2025. ZipRecruiter reports that Azure data engineers can earn a salary ranging from $45,000 to $178,000 per year in the USA as of 2025.
    • Accelerate your career growth: The Azure data engineer course will provide the skills to optimize IT infrastructures with Azure solutions and services. It will help to prove your expertise in a real-time work environment.
  • For organizations that offer Azure data engineer training to their teams
    • Boost Productivity: Azure data engineer training empowers your IT teams to create analytics and gain insights. It enables them to solve real-time problems instantly, boosting business productivity.
    • Increased ROI: The Azure data engineer course equips your teams to simplify migration processes, significantly reducing costs. It increases cost performance for your resources, including data, apps, servers, and analytics.
    • Business continuity: Azure Data Engineer training enables your teams to use elastic SQL database pools to improve database performance levels. It helps businesses to ensure long-term operational resilience.
Azure Data Engineer Training
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Course Coverage

Prepare for a career in Azure Data Engineer

Learn & practice Azure Data Engineer Concepts

Demonstrate your proficiency in use cases & Lab Assignments
Learn & practice Azure Data Engineer Concepts

Course Completion Certificate

Earn an employer-recognized Course Completion certificate by Mindmajix.

Resume & LinkedIn Profile

Build your portfolio with personalized suggestions.

Mock Interview

Experience real-time interviews with Mindmajix SMEs

Qualify for in-demand job titles

Career support

Plan your career move with Mindmajix's job search.

Work Support

Get assistance in completing project tasks once you are employed.
Learn & practice Azure Data Engineer Concepts

Azure Data Engineer Course Content

MindMajix’s Azure Data Engineer course curriculum is designed by subject matter experts to provide you with extensive knowledge of core data concepts and Azure data services. It includes the essential learning modules covering both basic and advanced topics. It is an ideal platform for both beginners and professionals to explore the Microsoft Azure platform.
Topic-wise Content Distribution

ETL, DWH Introduction

  • Database Introduction
  • Data Warehouse (DWH)
  • Data Engineering Work Flow
  • Cloud Concepts: laaS, PaaS
  • SaaS & Azure Cloud Concepts
  • Azure Resources & Groups

Azure Intro, Azure SQL

  • Azure SQL Server, SQL DB
  • Azure SQL Database (OLTP)
  • Azure SQL Pool (DWH)
  • Connections from SSMS Tool
  • Connections from ADS Tool
  • Pause / Resume SQL Pool

Azure Synapse (DWH)

  • Synapse Pool Architecture
  • Control Node, Compute Node
  • DMS & Partitioned Tables
  • Creating Tables with TSQL
  • Distributions: RR, Hash, Repl
  • Big Data Loads with TQL

Azure Data Factory (ADF)

  • Need for ADF & Pipelines
  • Linked Services & IRs
  • Datasets, Pipelines, Triggers
  • Copy Data Activity & CDT
  • Data Loads Pipelines, DTUs

ADF Incremental Loads - 1

  • File Incremental Loads
  • Storage Account, Data Lake
  • Binary Copy, Schema Drift
  • Staging Concept in ADF
  • DOCP, Logging & Consistency

ADF Incremental Loads - 2

  • Implement SCD with ADF
  • Self Hosted IR: Realtime Use
  • On-premise Data: Incr Loads
  • Copy Method : Upsert, Keys
  • Staging & ADF Optimizations

ADF Data Flow - 1

  • Data Flow Transformations
  • Spark Clusters for Debugging
  • Optimized Clusters, Preview
  • Conditional Split, SELECT
  • Sort, Union Transformations

ADF Data Flow - 2

  • Working with Multiple Tables
  • Join Transform, Broadcast
  • Row Filters, Column Filters
  • Surrogate Keys, Derived Cols
  • ETL Loads Dates, Sink Options

ADF Data Flow - 3

  • Pivot Transformation
  • Group By & Pivot Keys
  • Column Pattern, Deduplicate
  • Lookup, Cached Lookup
  • Tuning Transformations

Synapse Analytics - 1

  • Azure Synapse Analytics
  • Dedicated SQL Pools
  • TSQL: Stored Procedures
  • Synapse Pipelines, Tuning
  • SP Activity in Pipelines, Jobs

Synapse Analytics – 2

  • Serverless Pools in Synapse
  • TSQL Scripts with Serverless
  • ADLS Data Imports & ELT
  • Synapse Aggregation, Analytics
  • Synapse Optimizations

Synapse Analytics - 3

  • Apache Spark Pool & Usage
  • Synapse Analytics with Pools
  • PySpark Staging,Aggregations
  • Spark Queries & Python ETL
  • Python Notebooks, Pipelines
  • Integrating Python with DWH

Parameters, SCD & ETL

  • ADF Templates in Realtime
  • Table Incremental Loads
  • Control Tables, Watermarks
  • Pipeline Parameters, SPs
  • Dynamic Data Sets, SCD

CDC @ ETL, ELT & Tuning

  • Using CDC in ADF
  • Control Tables (CT): Upserts
  • Handling Inserts, Updates
  • SCD Type 1 & Type 2
  • ADF, Synapse : Limitations

Azure Intro & Storage

  • Storage, ETL, loT Resources
  • Azure Storage Components
  • Azure Storage Account, HNS
  • Azure Data Lake Storage
  • Azure Storage Explorer Tool
  • Storage Explorer Config
  • Storage Account Properties

Azure Storage Operations

  • BLOB Storage: Containers
  • Storage Browser, Explorer
  • File & Folder Uploads, Edits
  • Azure Tables: Row Key
  • Partition Key, Timestamp
  • Use Cases of BLOB Storage
  • Use Cases of Azure Tables

Azure Storage Security

  • Realtime use of Keys
  • Access Keys & Admin Access
  • SAS Keys Generation, Ips
  • Creating, Using Entra Users
  • Azure AD Users, Groups
  • IAM & RBAC with Entra Users
  • ACLs and ADLS Security

Azure SQL DB Migrations

  • On-Premise SQL DB bacpac
  • Azure SQL Deployment
  • Azure Storage from SSMS
  • Azure SQL DB Migration
  • Migration Verifications
  • Testing Migrations in SQL

Azure Stream Analytics

  • Azure loT Hubs & Devices
  • APIs with Connection Strings
  • Azure Steam Analytic Jobs
  • Inputs, Outputs, SAQL Query
  • LIVE Feed: JSON, AVRO Files
  • Watermark & LIVE Stats

Azure Key Vaults, Alerts

  • Azure Encryptions @ REST
  • Azure Key Vaults & Keys
  • SMK & CMK Encryptions
  • Azure Metrics: Ingress
  • Egress, E2E Latency Issues
  • Performance Tuning Options

Azure Storage Optimization

  • BLOB Types & Content Types
  • Hot, Cool, Cold, Archive Types
  • Creating, Using Access Policies
  • Immutable Storage, Rotation
  • Containerization, Indexing
  • Replication: LRS, ZRS, RA-GRS

Azure Pricing, Functions

  • Azure Logic Apps : Usage
  • Log Apps Usage in ETL
  • Snapshots, Azure Functions
  • Azure Functions Realtime Use
  • ETL & DWH with Functions
  • Azure Resource Pricing

Azure Big Data & Spark

  • Azure Big Data & Spark
  • Azure ETL & DWH Databases
  • Azure Spark, HIVE Metastore
  • Azure Databricks Service
  • Spark Cluster (Personal)
  • Unity Catalog & Azure VM

Spark Cluster Operations

  • DBFS : Flat File Imports
  • Table Conversions using GUI
  • Spark Clusters: Table Creations
  • Basic Transformations in Spark
  • SQL Notebooks: Creation
  • Default DB Queries, Cloning

Python & PySpark, ETL

  • Python Fundamentals
  • Python Dataframes : ETL
  • Python For Big Data, Pandas
  • Python Notebooks, Views
  • Aggregated Loads to Spark
  • Spark DB Creations, Tables

PySpark & ADLS, Widgets

  • Creating Spark Databases
  • Spark Tables, Catalog Info
  • PySpark with ADLS Storage
  • Using Widgets for ADLS Keys
  • PySpark Variables & Widgets
  • Using Variables in Functions
  • Spark SQL with Control Text
  • Using Variables in Spark SQL

ADB Jobs, Delta Tables

  • Azure Databrick Jobs
  • Azure Workflows & Tasks
  • Notebook Schedule Options
  • Continuous Jobs, Notifications
  • Delta Tables & Data Cleansing
  • SCD (Merge Into), Contact, etc
  • Creating, Using Dataframes
  • Multi Dataframe Joins

Scala Notebooks & ETL

  • Scala Notebooks : Purpose
  • Aggregated Data Loads
  • Incremental Data Loads
  • Widgets & Jobs with Scala
  • Python Versus Scala
  • Converting Python to Scala
  • JVM Benefits, SQL DB Conn
  • SQL DB Loads with Scala

Databricks Architecture

  • Azure Databricks Services
  • Cluster Components & DBFS
  • RDD, DAG, Photon, SpotLight
  • Spark Partitioned Tables
  • Cluster Manager: Spark Jobs
  • Databricks Runtime (DBR)
  • Databricks Security
  • Workspace Security
  • Notebopk & Job Security

Medallion Architecture

  • Medallion Architecture in ETL
  • DWH Data Loads & Incr Loads
  • Bronze, Silver & Gold Data
  • Processing Raw Data Files
  • Data Cleansing, Formatting
  • Aggregation Advantages
  • DBES & Node Architecture
  • Unity Catalog Concept
  • LUNs and Unity Catalog

Delta LIVE Tables (DLT)

  • Creating Delta LIVE Tables
  • DLT Pipelines in ETL, DWH
  • Automated Incr Loads
  • Control Tables, Timestamp
  • SCD Type 1 with DLT
  • SCD Type 2 with DLT
  • Automated Merge Into Stmt
  • Delta Tables Vs DLT
  • Merge Into Vs DLT Pipeline
free

Add-ons

Most of the Azure Data Engineer Jobs in the industry expect the following add-on skills. Hence, we offer these skills-set as FREE Courses (Basics) to ease your learning process and help you stay ahead of the competition.

Agile & Scrum

Hands-on Azure Data Engineer Projects & Assignments

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.

  1. Use Case #1: Data Foundation with Real-Time Application Data

  2. Use Case #2: Data Engineering with Unstructured Data

  3. Use Case #3: IoT Pipeline with Sensor Data

  4. Use Case #4: ETL Pipeline Workflow

  5. Use Case #5: Data Pipeline Automation

logoTraining Options

Choose your own comfortable learning experience.

Best Value

On-Demand Training

70 hrs of Self-Paced Videos

  • 70 hours of Azure Data Engineer Training videos
  • Curated and delivered by industry experts
  • 100% practical-oriented classes
  • Includes resources/materials
  • Latest version curriculum with covered
  • Get lifetime access to the LMS
  • Learn technology at your own pace
  • 24x7 learner assistance
  • Certification guidance provided
  • Post sales support by our community
self-paced

Get Pricing

Preferred

Live Online (Instructor-Led)

70 hrs of Remote Classes in Zoom/Google meet

2025 Batches

Start - End

Time

Weekend

Aug 09 - Aug 24

07:00 PM

Weekdays

Aug 12 - Aug 27

07:00 PM

Weekend

Aug 16 - Aug 31

09:00 AM

Weekdays

Aug 19 - Sep 03

09:00 AM

Customize your schedule here

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

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
Learn MoreContact us

Served 130+ Corporates

Corporate Clients

Azure Data Engineer Certification

Passing Azure Data Engineer Quizzes & Assessment exams is mandatory to attain the Azure Data Engineer Course Completion certificate

  • An Industry-recognized certificate by Mindmajix.
  • Shareable certificate - add to your LinkedIn profile

Shall I appear for Azure Data Engineer certification exam after completion of Azure Data Engineer course?

Our Azure Data Engineer course covers all the topics that are required to clear Azure Data Engineer certification. Trainer will share Azure Data Engineer certification guide, Azure Data Engineer certification sample questions, Azure Data Engineer certification practice questions.
MindMajix certificate
Zoom

logoOn-Job Support Service

Online Work Support for your on-job roles.

jobservice
@Learner@SME

Our work-support plans provide precise options as per your project tasks. Whether you are a newbie or an experienced professional seeking assistance in completing project tasks, we are here with the following plans to meet your custom needs:

  • Pay Per Hour
  • Pay Per Week
  • Monthly
Learn MoreContact us

One Access for Multiple Courses

Choose from our Self-Paced learning library based on trending job Roles or Career Paths at a Discounted price.

Learn more

Azure Data Engineer Training FAQs

Can beginners learn Microsoft Azure easily?

Yes, beginners can learn Microsoft Azure easily. If they are familiar with the fundamentals of databases and data management, learning Azure will be a pleasant experience.

What are the learning outcomes of Azure Data Engineer training?

By completing the training, you can:

  • Perform data ingestion, modeling, integration, governance, and security using Azure services
  • Manage Apache Spark pools, and Configure IAM and RBAC with Entra ID
  • Use Azure storage components, event hubs, and the Storage Explorer
  • Implement Azure cluster operations, ETL/ELT processes, and Azure SQL DB migrations
  • Manage Azure Stream Analytics, SQL managed instances, and HDInsights
  • Work with T-SQL, JSON, dataflow expressions, and Medallion architecture

Who is the target audience for the Azure Data Engineer online course?

  • Beginners
  • Data Engineers/Analysts/Architects
  • ETL Developers
  • Cloud Data Engineers
  • IT and non-IT professionals who wish to become data professionals

What job roles can I apply for after completing the Azure Data Engineer training?

After completing the training, you can apply for various job roles, including:

  • Azure Data Engineer
  • Azure Cloud Architect
  • Azure Synapse Data Engineer
  • Azure Fabric Data Engineer

Can I access any additional learning resources beyond the Azure Data Engineer online training?

Yes, you can get access to the following eLearning resources along with the training.

I want to complete the training in a few days or a week? Is it possible?

Yes, we got custom training programs to complete the course as you need.

What are the system requirements I need to attend online training?

You need good internet connectivity with a mobile/tab/laptop/system installed with Zoom/Meet.

How can I access recorded videos of my training sessions?

You can access the recorded videos through our LMS after every session.

Do I get any discount on the course?

Yes, you get two kinds of discounts. They are group discounts and referral discounts.

  • A group discount is offered when you join as a group of three or more.
  • When you are referred by someone already enrolled for training, you receive a referral discount.

How do I get a course completion certificate?

You will get a verifiable course completion certificate once you attend all the sessions and successfully submit the assessments.

How do you help me with certification?

We provide you with all the necessary resources and guidance to get certified with the relevant software/technology vendor on your own.

Can you help me with resume preparation?

Yes, our experts help you draft the perfect resume that matches your desired job roles.

Do you offer placements after the training program?

Yes, we help you with placement assistance through mock interviews, resume building, and by forwarding your profile to our corporate clients seeking trained resources.

How does your mock interviews process work?

A mock interview is a unique program we offer to help you experience real-time interviews.
Our expert connects with you, conducts an interview, and provides you feedback and quick tips to improve your skills as needed.

Can I avail EMI option to pay the fee?

Yes, we have associated partners who allow payments through three/six easy installments.

Can I customize the course curriculum?

Yes, you can customize the course curriculum as per your requirements.

Can I rejoin the subsequent batch if I cannot continue in the current schedule?

Yes, we provide feasibility to attend the next batch for the missing sessions; however, we cannot guarantee that the same trainer and the same kind of schedule would be available.

Will you continuously update your course content as per the latest software version/release available?

We keep our course curriculum aligned with the current stable Technology / Software version releases.

We want to hire resources you have trained. Is it possible?

Yes, we can offer resources depending upon the availability.

Why is there a difference between live online and self-paced videos duration?

In the case of live online training, we consider additional interaction time between the trainer and the learners.

Can we extend the access for the pre-recorded sessions?

Yes, you can renew the access after one year with a minimal fee.

Is it possible to customize the live training (scheduling and curriculum)?

Yes, we can customize the course curriculum and schedule the sessions as per your project requirements.

Do you conduct assessments at the end of the program?

Yes, we do conduct assessments.

Can we extend the lab access beyond training completion?

Yes. On special request, we can extend lab practice sessions for the learners at an extra cost.

We need a few consulting sessions with the training after completion. Is it possible?

Yes, we can arrange consulting sessions with the trainer at an extra cost.

User Testimonials
Everyone from start-ups to large enterprises prefer Mindmajix
Rajesh

MindMajix Azure Data Engineer training is sO convenient. I can download the course curriculum and attend the training sessions on weekends. The support I received at every stage was fantastic. I would highly recommend MindMajix.

Rajesh

Rating: 5

  • Rajesh
  • Rakesh
  • Manish
  • Abhiudaya
  • Vishwas
  • Baswaraj
  • AJ
  • Jenn
  • GopalRathinam

Azure Data Engineer Training Resources

Teams across the globe run on MindMajix
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