Azure Data Engineer Training

MindMajix offers Azure Data Engineer training for beginners and experienced learners alike. This comprehensive course covers intensive practical exercises, includes post-training support, and aligns with multiple certification exams.

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868 learners
Trusted by 130+ corporates
Join the cohortGet instant access (self-paced)
Azure Data Engineer Training

Course Features

100% Money back guarantee
  • Real-time Use cases

  • 24/7 Lifetime Support

  • Certification Based Curriculum

  • Flexible Schedules

  • One-on-one doubt clearing

  • Career path guidance

About Azure Data Engineer Course

Our Azure Data Engineer course provides you with practical expertise in designing and managing data pipelines and analytical solutions on Microsoft Azure. The training provides you with exceptional hands-on experience in data ingestion, storage, and streaming across complex cloud environments.

Why learn the Azure Data Engineer course?

  • TheirStack states that leading companies such as Infosys, Wipro, LTIMindtree, KPMG, HCLTech, and TechMahindra utilize Microsoft Azure for their data management.
  • Below is the salary range of Azure Data Engineers

    Country Salary/Year Source
    US $45,000 to $178,000 ZipRecruiter
    India 4 LPA to 16 LPA AmbitionBox

     

  • You can apply for many Azure Data Engineer roles, including:
    • Azure Data Engineer
    • Azure Cloud Architect
    • Azure Synapse Data Engineer
    • Azure Fabric Data Engineer
  • From the above information, you can understand that career opportunities for Azure data engineers are abundant across multiple industries.

What will you learn?

  • Perform data modeling, integration, governance, and security using Microsoft Azure
  • Build data storage solutions using Azure Synapse
  • Manage Apache Spark pools, and configure IAM and RBAC with Entra ID
  • Perform Azure cluster operations, ETL/ELT processes, and Azure SQL DB migrations
  • Implement real-time data processing with Azure Stream Analytics and event hubs

Prerequisites:

  • Basic proficiency in data processing and ETL processes.

Target Audience:

  • Beginners
  • ETL Engineers
  • Data Analysts/Engineers/Architects
  • Cloud Data Engineers
  • Database Administrators

Why MindMajix:

  • We deliver Azure Data Engineer training by experts with extensive industry experience.
  • Our trainers will guide you in setting up an Azure free trial for your hands-on exercises.
  • Our course curriculum aligns with multiple Azure Data Engineer certification exams.
  • We provide extensive post-training support, including mock interviews, resume-building guidance, and job-search assistance.
  • We provide additional learning resources to boost your Azure Data Engineer skills. You can access the resources in the 'Azure Data Engineer Training Resources' section of this webpage.
Azure Data Engineer Training - DP-700
demo play

Course Coverage

YOUR LEARNER JOURNEY - From Enrolment to Employment

How to Prepare for a Career in Azure Data Engineer

Six guided stages take you from your first training class to your first offer — each one backed by a specific MindMajix support service.

Stage 1

Enrol & Get Set Up

Pick live online or self-paced, and set up a free Azure Data Engineer Instance so you practice from day one.

  • Live or self-paced
  • 1-year LMS access
  • Agile & Scrum add-on
Stage 2

Learn & Build Real Skills

Master Azure Data Engineer concepts with 70 hrs of current-release content, applying every concept in hands-on labs and real-time projects throughout.

  • Instructor-led + labs
  • 1-on-1 doubt clearing
  • Recording access
Stage 3

Earn Your Certificate

Clear the assessments for your shareable MindMajix completion certificate. Modules map to official Azure Data Engineer exam topics for exam-aligned prep.

  • MindMajix certificate
  • Practice questions
Stage 4

Polish Your Profile

Turn skills into a profile recruiters notice — build an interview-ready resume and a strong LinkedIn presence using proven Azure Data Engineer templates.

  • Resume building
  • LinkedIn optimisation
  • Resume templates
Stage 5

Practice Interviews

Walk in already rehearsed. Sit structured mock-interview rounds with experienced SMEs and get focused feedback on your Azure Data Engineer skills and scenario questions.

  • Real-time Scenarios
  • Personalised feedback
  • Azure Data Engineer mock interviews
Stage 6

Land Your Role

Apply with confidence using job-search assistance and referrals to hiring partners across India & the USA. (Career support provided; placement not guaranteed.)

  • Job-search assistance
  • Hiring-partner referrals
  • Role guidance

Start the journey today - choose the format that fits you.

Azure Data Engineer Course Content

MindMajix's Azure Data Engineer course curriculum covers core modules to prepare learners to tackle data storage challenges in real-time environments. Our course content is updated to reflect the latest features and capabilities of Microsoft Azure services, helping learners stay competitive in cloud computing.

31Modules
194Topics
Open any module to view the full topic list.
  1. 01ETL, DWH Introduction6 topics
    • Database Introduction
    • Data Warehouse (DWH)
    • Data Engineering Work Flow
    • Cloud Concepts: laaS, PaaS
    • SaaS & Azure Cloud Concepts
    • Azure Resources & Groups
  2. 02Azure Intro, Azure SQL6 topics
    • 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
  3. 03Azure Synapse (DWH)6 topics
    • Synapse Pool Architecture
    • Control Node, Compute Node
    • DMS & Partitioned Tables
    • Creating Tables with TSQL
    • Distributions: RR, Hash, Repl
    • Big Data Loads with TQL
  4. 04Azure Data Factory (ADF)5 topics
    • Need for ADF & Pipelines
    • Linked Services & IRs
    • Datasets, Pipelines, Triggers
    • Copy Data Activity & CDT
    • Data Loads Pipelines, DTUs
  5. 05ADF Incremental Loads - 15 topics
    • File Incremental Loads
    • Storage Account, Data Lake
    • Binary Copy, Schema Drift
    • Staging Concept in ADF
    • DOCP, Logging & Consistency
  6. 06ADF Incremental Loads - 25 topics
    • Implement SCD with ADF
    • Self Hosted IR: Realtime Use
    • On-premise Data: Incr Loads
    • Copy Method : Upsert, Keys
    • Staging & ADF Optimizations
  7. 07ADF Data Flow - 15 topics
    • Data Flow Transformations
    • Spark Clusters for Debugging
    • Optimized Clusters, Preview
    • Conditional Split, SELECT
    • Sort, Union Transformations
  8. 08ADF Data Flow - 25 topics
    • Working with Multiple Tables
    • Join Transform, Broadcast
    • Row Filters, Column Filters
    • Surrogate Keys, Derived Cols
    • ETL Loads Dates, Sink Options
  9. 09ADF Data Flow - 35 topics
    • Pivot Transformation
    • Group By & Pivot Keys
    • Column Pattern, Deduplicate
    • Lookup, Cached Lookup
    • Tuning Transformations
  10. 10Synapse Analytics - 15 topics
    • Azure Synapse Analytics
    • Dedicated SQL Pools
    • TSQL: Stored Procedures
    • Synapse Pipelines, Tuning
    • SP Activity in Pipelines, Jobs
  11. 11Synapse Analytics – 25 topics
    • Serverless Pools in Synapse
    • TSQL Scripts with Serverless
    • ADLS Data Imports & ELT
    • Synapse Aggregation, Analytics
    • Synapse Optimizations
  12. 12Synapse Analytics - 36 topics
    • Apache Spark Pool & Usage
    • Synapse Analytics with Pools
    • PySpark Staging,Aggregations
    • Spark Queries & Python ETL
    • Python Notebooks, Pipelines
    • Integrating Python with DWH
  13. 13Parameters, SCD & ETL5 topics
    • ADF Templates in Realtime
    • Table Incremental Loads
    • Control Tables, Watermarks
    • Pipeline Parameters, SPs
    • Dynamic Data Sets, SCD
  14. 14CDC @ ETL, ELT & Tuning5 topics
    • Using CDC in ADF
    • Control Tables (CT): Upserts
    • Handling Inserts, Updates
    • SCD Type 1 & Type 2
    • ADF, Synapse : Limitations
  15. 15Azure Intro & Storage7 topics
    • 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
  16. 16Azure Storage Operations7 topics
    • 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
  17. 17Azure Storage Security7 topics
    • 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
  18. 18Azure SQL DB Migrations6 topics
    • On-Premise SQL DB bacpac
    • Azure SQL Deployment
    • Azure Storage from SSMS
    • Azure SQL DB Migration
    • Migration Verifications
    • Testing Migrations in SQL
  19. 19Azure Stream Analytics6 topics
    • Azure loT Hubs & Devices
    • APIs with Connection Strings
    • Azure Steam Analytic Jobs
    • Inputs, Outputs, SAQL Query
    • LIVE Feed: JSON, AVRO Files
    • Watermark & LIVE Stats
  20. 20Azure Key Vaults, Alerts6 topics
    • Azure Encryptions @ REST
    • Azure Key Vaults & Keys
    • SMK & CMK Encryptions
    • Azure Metrics: Ingress
    • Egress, E2E Latency Issues
    • Performance Tuning Options
  21. 21Azure Storage Optimization6 topics
    • BLOB Types & Content Types
    • Hot, Cool, Cold, Archive Types
    • Creating, Using Access Policies
    • Immutable Storage, Rotation
    • Containerization, Indexing
    • Replication: LRS, ZRS, RA-GRS
  22. 22Azure Pricing, Functions6 topics
    • Azure Logic Apps : Usage
    • Log Apps Usage in ETL
    • Snapshots, Azure Functions
    • Azure Functions Realtime Use
    • ETL & DWH with Functions
    • Azure Resource Pricing
  23. 23Azure Big Data & Spark6 topics
    • Azure Big Data & Spark
    • Azure ETL & DWH Databases
    • Azure Spark, HIVE Metastore
    • Azure Databricks Service
    • Spark Cluster (Personal)
    • Unity Catalog & Azure VM
  24. 24Spark Cluster Operations6 topics
    • DBFS : Flat File Imports
    • Table Conversions using GUI
    • Spark Clusters: Table Creations
    • Basic Transformations in Spark
    • SQL Notebooks: Creation
    • Default DB Queries, Cloning
  25. 25Python & PySpark, ETL6 topics
    • Python Fundamentals
    • Python Dataframes : ETL
    • Python For Big Data, Pandas
    • Python Notebooks, Views
    • Aggregated Loads to Spark
    • Spark DB Creations, Tables
  26. 26PySpark & ADLS, Widgets8 topics
    • 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
  27. 27ADB Jobs, Delta Tables8 topics
    • 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
  28. 28Scala Notebooks & ETL8 topics
    • 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
  29. 29Databricks Architecture9 topics
    • 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
  30. 30Medallion Architecture9 topics
    • 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
  31. 31Delta LIVE Tables (DLT)9 topics
    • 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

Hands-on Azure Data Engineer Projects & Assignments

Our Azure Data Engineer Training - DP-700 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 how you learn best

Both options cover the full curriculum and include most of the certification topics

Most flexible

Self-paced

70 hrs

Learn anytime, at your own pace — complete the course in weeks or months.

What you get
  • 70 hours of Azure Data Engineer Training - DP-700 videos
  • Curated and delivered by SME
  • Hands-On Lab sessions
  • Resources/materials
  • Sample Resumes
  • Get one year access to the LMS
  • Community forum support
  • Free Agile & Scrum add-on course
Not included
  • Live instructor & Q&A sessions
  • 1-on-1 doubt clearing calls
  • Mock interview & resume review
self-paced

Get Pricing

Most Popular

Live online (instructor-led)

70 hrs

Real-time classes with a certified expert — ask questions, get instant feedback, and walk away job-ready

Everything in self-paced, plus
  • Live Zoom/Meet sessions with instructor
  • 1-on-1 doubt clearing sessions
  • Live project walkthroughs
  • certification guidance
  • Mock interviews with SME panel
  • Resume & LinkedIn profile review
  • Job referral to hiring partners
  • Session recordings to rewatch anytime
  • Agile & Scrum add-on course free
Next batch starts
Jul11
Jul 11 - Jul 26Next batchIST (IND)

07:30 AM IST · Weekend · Only 4 seats left

online

Azure Data Engineer Training - DP-700 Schedule

70 hrs · Live online · Recordings included

Weekend (Sat-Sun)

Jul 11 - Jul 26

3 weekends · 70 hrs total

Time07:30 AM IST
ModeLive online

Zoom / Google Meet

Weekday (Mon-Fri)

Jul 14 - Jul 29

2 weeks · 70 hrs total

Time07:00 AM IST
ModeLive online

Zoom / Google Meet

i

Need a different time? We offer and at any timezone. Contact a course advisor to set one up.

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
Honest Comparison

MindMajix Azure Data Engineer Training - DP-700 Training vs Other Institutes

We believe in transparency. Here's how MindMajix stacks up against typical Azure Data Engineer Training - DP-700 training providers so you can compare value, support, and practical depth clearly.

Our CourseMindMajix

Azure Data Engineer Training - DP-700 Training

(5)
learners868 learners
Other Institutes

Generic Azure Data Engineer Training - DP-700 Training Providers

Avg rating3.2(avg. across providers)
CurriculumCourse Content

Updated to the latest exam pattern with real-world modules, guided labs, and implementation depth.

Always current

Often outdated basics with limited real-world coverage and shallow practical context.

Frequently outdated
CurriculumHands-On Lab Access

Sandbox-style practice with guided exercises, projects, and replay-friendly learning support included.

Included at no extra cost

Slides-first teaching with restricted lab time or paid add-on practical access.

Limited / paid extra
InstructorTrainer Credentials

Certified trainers with real implementation experience and structured teaching support.

Verified expertise

Trainer quality varies widely and may depend on availability rather than specialization.

Varies widely
InstructorTrainer Continuity

A stable trainer journey with consistent delivery, doubt support, and batch continuity.

Consistent trainer

Trainer substitutions can happen mid-course and interrupt learning continuity.

Frequent changes
SupportDoubt Clearing

Ongoing help through trainer sessions, community support, and guided clarification after class.

Extended support

Support often stops after sessions, leaving little structured post-class help.

No post-training help
PlacementJob Assistance

Resume reviews, mock interviews, hiring guidance, and practical interview preparation support.

Active placement support

Placement support is often limited to generic guidance or an email list.

Mostly nominal
PlacementMock Interviews

Structured mock interview rounds with domain-focused feedback before interviews.

Included

Students are usually expected to prepare independently without guided mock rounds.

Not included
ScheduleBatch Flexibility

Weekday, weekend, and flexible learning paths with guidance on the best fit.

Fully flexible

Fixed schedules with fewer alternatives once a batch begins.

Limited options
CertificationExam Preparation

Practice questions, revision guidance, and exam-focused preparation aligned to current objectives.

Comprehensive prep

Generic question banks that may not reflect the latest exam priorities.

Outdated mock tests
ValuePrice Range

Strong value with training, support, and practical learning included as a single package.

Best value for inclusions

Lower headline pricing can still lead to add-on costs for labs, support, or extras.

Hidden add-on costs
ValueRecording Access

Long-term access to recordings and study materials for revision after batch completion.

Lifetime-style access

Access is often time-limited and may not include refreshed supporting material.

Time-limited access
Curriculum

Course Content

MindMajix

Updated to the latest exam pattern with real-world modules, guided labs, and implementation depth.

Always current
Other Institutes

Often outdated basics with limited real-world coverage and shallow practical context.

Frequently outdated
Curriculum

Hands-On Lab Access

MindMajix

Sandbox-style practice with guided exercises, projects, and replay-friendly learning support included.

Included at no extra cost
Other Institutes

Slides-first teaching with restricted lab time or paid add-on practical access.

Limited / paid extra
Instructor

Trainer Credentials

MindMajix

Certified trainers with real implementation experience and structured teaching support.

Verified expertise
Other Institutes

Trainer quality varies widely and may depend on availability rather than specialization.

Varies widely
Instructor

Trainer Continuity

MindMajix

A stable trainer journey with consistent delivery, doubt support, and batch continuity.

Consistent trainer
Other Institutes

Trainer substitutions can happen mid-course and interrupt learning continuity.

Frequent changes
Support

Doubt Clearing

MindMajix

Ongoing help through trainer sessions, community support, and guided clarification after class.

Extended support
Other Institutes

Support often stops after sessions, leaving little structured post-class help.

No post-training help
Placement

Job Assistance

MindMajix

Resume reviews, mock interviews, hiring guidance, and practical interview preparation support.

Active placement support
Other Institutes

Placement support is often limited to generic guidance or an email list.

Mostly nominal
Placement

Mock Interviews

MindMajix

Structured mock interview rounds with domain-focused feedback before interviews.

Included
Other Institutes

Students are usually expected to prepare independently without guided mock rounds.

Not included
Schedule

Batch Flexibility

MindMajix

Weekday, weekend, and flexible learning paths with guidance on the best fit.

Fully flexible
Other Institutes

Fixed schedules with fewer alternatives once a batch begins.

Limited options
Certification

Exam Preparation

MindMajix

Practice questions, revision guidance, and exam-focused preparation aligned to current objectives.

Comprehensive prep
Other Institutes

Generic question banks that may not reflect the latest exam priorities.

Outdated mock tests
Value

Price Range

MindMajix

Strong value with training, support, and practical learning included as a single package.

Best value for inclusions
Other Institutes

Lower headline pricing can still lead to add-on costs for labs, support, or extras.

Hidden add-on costs
Value

Recording Access

MindMajix

Long-term access to recordings and study materials for revision after batch completion.

Lifetime-style access
Other Institutes

Access is often time-limited and may not include refreshed supporting material.

Time-limited access
1 / 11
MindMajixWins or ties in 9 of 11 categories
9/11

Industry-focused delivery with stronger support, consistency, and practical learning value.

Other InstitutesUsually win only on headline pricing
2/11

Lower upfront pricing can hide trade-offs in labs, trainer continuity, and support quality.


Azure Data Engineer Certification

Course Completion Certification:

You will receive the Azure Data Engineer course completion certificate once you complete all the assessments and quizzes conducted by MindMajix.

  • The certification demonstrates your knowledge and skills in Azure Data Services and big data management.
  • You can add this shareable certificate to your LinkedIn profile and professional portfolio. It boosts your professional visibility within the cloud and data engineering domains.

 

Azure Data Engineer Certifications:

MindMajix’s Azure Data Engineer course curriculum aligns with the official Azure Data Engineer certification exams. It helps you gain the expertise required to pass certification exams with confidence.

The table below maps the Azure Data Engineer Certification exam blueprints to the corresponding MindMajix course modules for your clarity.

Certification Exam Exam Topics MindMajix Modules
Microsoft Certified Fabric Data Engineer Associate (DP-700) Implement and manage an analytics solution
  • ETL, DWH Introduction
  • Azure Intro, Azure SQL
  • Azure Synapse (DWH)
  • Synapse Analytics – 1
Ingest and transform data
  • ETL, DWH Introduction
  • Azure Data Factory (ADF)
  • ADF Incremental Loads – 1,2
  • ADF Data Flow – 1,2, &3
Monitor and optimize an analytics solution
  • ADF Incremental Loads – 1,2
  • ADF Data Flow – 3
  • Synapse Analytics – 1
Microsoft Certified Fabric Data Engineer Associate (DP-900) Describe core data concepts ETL, DWH Introduction
Identify considerations for relational data on Azure Azure Intro, Azure SQL
Describe considerations for working with non-relational data on Azure
  • PySpark, ADLS, Widgets
  • ADF Data Flow – 1,2,&3
  • Spark Cluster Operations
  • Medallion Architecture
Describe an analytics workload on Azure
  • Synapse Analytics- 1,2,&3
  • Azure Stream Analytics
  • Azure Data Factory (ADF)

 

Sources: DP-700, DP-900

Is DP-203 retired? What should I take now

Yes, Microsoft retired DP-203 (Azure Data Engineer Associate) on March 31, 2025. The suggested certification path is the Fabric Data Engineer Associate via Exam DP-700.

DP-700 focuses on the unified Microsoft Fabric stack (OneLake, Lakehouse/Warehouse, Fabric Data Factory, Spark in Fabric, Real-Time Intelligence, and Direct Lake to Power BI) with three equally weighted areas: implement/manage, ingest/transform, monitor/optimise (each ~30–35%)

MindMajix certificate
Zoom

Azure Data Engineer Training - DP-700 FAQs

Do you accept learners from all countries?

Yes, we accept learners globally. Importantly, learners must have basic-level proficiency in English communication to follow the training sessions effectively.

I don't have any industry experience. Can I still join the Azure Data Engineer training?

Yes, you can join. MindMajix provides training on Azure Data Engineer fundamentals and gradually moves into advanced concepts. We ensure a smooth learning experience for learners.

Can learners from a non-technical background take this course?

Yes, they can take the course. Our trainers conduct the training in a beginner-friendly manner. They simplify complex data engineering topics, such as ETL/ELT pipelines and Azure Data Factory concepts, making them easier for beginners to understand.

I already have some experience in data engineering. Can I skip the basic modules?

We customize the training based on your current data engineering skills and learning needs.

What if I face difficulties during the learning process?

MindMajix trainers will guide you individually throughout the training. We also provide additional learning materials and practical assignments to help you overcome your learning challenges.

Is there a maximum batch size for this training?

We offer flexible batch sizes and provide one-on-one training based on your schedule and learning preferences.

How do you assign trainers for the Azure Data Engineer training?

Most MindMajix trainers have over 10 years of industry experience. Our Azure Data Engineer trainer has extensive real-world industry expertise in implementing robust data engineering solutions for major enterprises.

What if I miss a session?

You can access the recording of any missed sessions at any time through our LMS.

How important is hands-on learning in your Azure Data Engineer training?

We emphasize practice-based learning. The Azure Data Engineer course curriculum includes adequate hands-on labs, real-time projects, and industry case studies to help you gain expertise in the Azure data ecosystem.

How do you deliver hands-on projects during the training?

MindMajix provides you with real-time Azure Data Engineer projects outlined in the Projects section of this webpage. By completing the projects, you will become proficient with Azure Synapse Analytics and modern data warehousing.

Do you provide support if technical issues arise during training?

Yes, our dedicated technical support team is available to help resolve technical issues promptly.

What is the format of the final assessment?

The final assessment includes multiple-choice questions to assess your knowledge of Azure data engineering concepts.

Does the Azure Data Engineer course guarantee a job?

We do not guarantee job placement. However, we offer strong career guidance, including:

  • Helping you build a strong resume highlighting your Azure Data Engineer projects
  • Conducting mock interviews to enhance your confidence
  • Sharing your profile with companies looking for Data Engineers

How can I contact your support team?

You can reach our support team by phone, WhatsApp, or via the contact form on our website.

What are the system requirements for attending this training?

You will need:

  • A laptop, desktop, or tablet
  • Zoom or Google Meet installation
  • Windows, macOS, or Linux operating systems
  • A stable, high-speed internet connection

What is your typical response time for addressing queries?

Our support team responds to learner queries as quickly as possible.

What is the validity of the Azure Data Engineer course completion certificate?

MindMajix's Azure Data Engineer course completion certificate is valid for a lifetime.

What payment methods do you accept for training fees?

We accept payments via credit/debit cards, UPI, and net banking for your convenience.

How long can I access the self-paced pre-recorded videos in the LMS?

You will have access to the self-paced Azure Data Engineer training videos for one year. You can renew your access annually at a discounted price.

TESTIMONIALS
What Learners say about Mindmajix
Quote

MindMajix Azure Data Engineer training is...

(5/5)

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.

R

Rajesh

Student

Quote

I am highly delighted and impressed...

(5/5)

I am highly delighted and impressed with this Azure Data Engineer certification training. Live classes are one of the best, and real-world scenarios are great. Totally worth the time and money spent.

R

Rakesh

Student

logoOn-Job Support Service

Online Work Support for your on-job roles.

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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
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