LMSAzure Data Engineer Training
- Choose Azure Data Engineer Training Institute To Master Cloud Data Analytics.
- Gain Hands-On Experience Through Real-Time Azure Data Engineer Projects.
- Get Career Guidance And Placement Support For Azure Data Engineer And Cloud Data Roles.
- Build Practical Skills Through Industry-Focused Assignments And Flexible Learning Schedules.
Job Assistance
4.7/5
4.8/5
4.8/5
1,200+ Enrolled
In collaboration with
65+ Hrs.
Duration
Online/Offline
Format
LMS
Life Time Access
Quality Training With Affordable Fee
⭐ Fees Starts From
INR
36,000
INR 16,500
Our Hiring Partners
Gain Our Practical Azure Data Engineer Training
- The main objective of Azure Data Engineer Training is to help learners gain expertise in cloud data engineering, data integration, data transformation, data warehousing, big data processing, and analytics solutions using Microsoft Azure services for modern enterprise environments.
- Azure Data Engineer Training covers Azure fundamentals, cloud computing, Azure Storage, Azure SQL Database, Azure Data Factory, Synapse Analytics, Databricks, Data Lake Storage, ETL/ELT pipelines, stream processing, and data security concepts through structured learning modules.
- Through practical projects and hands-on exercises, learners gain experience in designing data pipelines, processing large datasets, building scalable cloud data solutions, and implementing analytics platforms using Azure tools, industry standards, and real-world implementation practices.
- Our trainers are experienced Azure Data Engineering professionals who provide practical implementation techniques, project-based learning, and industry insights to help learners understand enterprise cloud data platforms, architecture, and data management environments effectively.
- Real-world business scenarios and industry practices are included to develop job-ready skills aligned with cloud architecture, data engineering, big data processing, analytics, and enterprise data management requirements while enhancing professional capabilities.
- After successful completion, learners receive placement support including resume preparation, mock interviews, career guidance, aptitude training, technical interview assistance, and job referrals to pursue Azure Data Engineer and cloud analytics career opportunities.
What You Will Learn in Azure Data Engineer Training
Learn Azure Data Engineer architecture, Data Factory, Synapse Analytics, Data Lake Storage, and cloud data engineering concepts for enterprise data solutions.
Work on real-time projects involving data ingestion, ETL/ELT pipelines, big data processing, cloud warehousing, and analytics implementation.
Understand how to design scalable data pipelines, automate workflows, optimize cloud processing, and manage enterprise data using Azure services.
Gain practical experience through expert sessions, hands-on exercises, real-time projects, and placement support to improve technical skills and career growth.
Your IT Career Starts Here
550+ Students Placed Every Month!
Get inspired by their progress in the Career Growth Report.
Other Categories Placements
- Non-IT to IT (Career Transition) 2371+
- Diploma Candidates3001+
- Non-Engineering Students (Arts & Science)3419+
- Engineering Students3571+
- CTC Greater than 5 LPA4542+
- Academic Percentage Less than 60%5583+
- Career Break / Gap Students2588+
Tools Covered For Azure Data Engineer Course
Upcoming Batches For Classroom and Online
Weekdays
10 - August - 2026
08:00 AM & 10:00 AM
Weekdays
12 - August - 2026
08:00 AM & 10:00 AM
Weekends
15 - August - 2026
(10:00 AM - 01:30 PM)
Weekends
16 - August - 2026
(09:00 AM - 02:00 PM)
Can't find a batch you were looking for?
Who Should Take a Azure Data Engineer Certification Training
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Working Professionals
Diploma Holders
Professionals from Other Fields
Salary Hike
Graduates with Less Than 60%
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Job Roles For Azure Data Engineer Certification Course
Azure Data Engineer
Data Engineer
Cloud Data Engineer
Azure Data Architect
Big Data Engineer
ETL Developer
Data Pipeline Engineer
Azure Analytics Engineer
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What’s included ?
📊 Free Aptitude and Technical Skills Training
- Learn basic maths and logical thinking to solve problems easily.
- Understand simple coding and technical concepts step by step.
- Get ready for exams and interviews with regular practice.
🛠️ Hands-On Projects
- Work on real-time projects to apply what you learn.
- Build mini apps and tools daily to enhance your coding skills.
- Gain practical experience just like in real jobs.
🧠 Launch Your Career in Top MNC Companies
- Master technical and HR interview rounds.
- Gain confidence with expert mock interview practice.
- Improve your chances of getting hired faster.
🎯 Interview Preparation For Freshers
- Practice company-based interview questions.
- Take online assessment tests to crack interviews
- Practice confidently with real-world interview and project-based questions.
🧪 LMS Self Learning Platform
- Explore expert trainer videos and documents to boost your learning.
- Study anytime with on-demand videos and detailed documents.
- Top MNC interview questions & self coding practice.
Curriculum
Azure Data Engineer Training
Module 1: Introduction to Azure Data Engineering- Overview of Microsoft Azure
- Azure Data Engineering Concepts
- Azure Portal Navigation
- Cloud Computing Fundamentals
- Introduction to Data Warehousing
- Understanding Data Pipelines
- Azure Blob Storage
- Azure Data Lake Storage
- Azure SQL Database
- Cosmos DB Basics
- Storage Security and Management
- Backup and Recovery Techniques
- Introduction to Azure Data Factory
- Creating Data Pipelines
- Data Integration Techniques
- ETL and ELT Processes
- Pipeline Monitoring and Scheduling
- Data Movement Activities
- Introduction to Azure Synapse Analytics
- Data Warehousing Concepts
- SQL Pools and Spark Pools
- Query Optimization
- Data Integration with Synapse
- Real-Time Analytics
- Introduction to Azure Databricks
- Apache Spark Fundamentals
- Data Transformation Techniques
- Notebook Development
- Cluster Management
- Big Data Processing
- Batch Data Processing
- Stream Data Processing
- Data Cleansing Techniques
- Data Transformation Methods
- Integration with Multiple Data Sources
- Workflow Automation
- Azure Security Fundamentals
- Identity and Access Management
- Data Encryption Techniques
- Monitoring and Auditing
- Compliance and Governance Policies
- Secure Data Access Management
- Azure Monitor
- Log Analytics
- Performance Tuning Techniques
- Resource Optimization
- Cost Management Strategies
- Troubleshooting and Error Handling
- Introduction to DevOps
- CI/CD Pipelines in Azure
- Automation using Azure Tools
- ARM Templates Basics
- Version Control with Git
- Deployment Strategies
- Real-Time Azure Data Engineering Projects
- Case Studies and Industry Scenarios
- Resume Preparation
- Mock Interview Sessions
- Certification Guidance
- Placement Assistance and Career Support
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Course Objectives
What is Azure Data Engineer Training?
Azure Data Engineer Training helps learners develop expertise in cloud data engineering, data integration, transformation, big data processing, data warehousing, and analytics using Microsoft Azure. The course prepares professionals to design, build, and manage scalable data solutions for business intelligence and data-driven decision-making.
What are the necessities to learn the Azure Data Engineer course?
To learn Azure Data Engineering, learners should have basic knowledge of databases, SQL, programming concepts, and cloud computing fundamentals. Knowledge of Python, data warehousing, or ETL concepts is beneficial but not mandatory.
Is the Azure Data Engineer Course beneficial for the future?
Yes, Azure Data Engineer is a valuable career choice with growing demand in cloud computing, big data, analytics, and business intelligence. Organizations are adopting Microsoft Azure to manage enterprise data efficiently, creating opportunities for skilled professionals.
- High demand for cloud data engineering professionals
- Strong career opportunities in data engineering and analytics
- Global opportunities across multiple industries
- Competitive salaries and long-term career growth
Can beginners learn Azure Data Engineer from scratch?
Yes, beginners can learn Azure Data Engineering from the basics with structured training. The course starts with cloud and Azure fundamentals before moving into advanced concepts like ETL pipelines, data lakes, data processing, and analytics solutions.
What are the goals of the Azure Data Engineer Course?
- Understand Azure cloud services and data engineering concepts
- Learn data integration, ETL/ELT pipelines, and automation
- Manage data lakes, warehouses, and big data processing
- Implement cloud analytics and reporting solutions
- Build scalable and secure enterprise data platforms
How is the career growth after completing the Azure Data Engineer course?
- Azure Data Engineer
- Cloud Data Engineer
- Data Integration Engineer
- Azure Analytics Engineer
- Big Data Engineer
What tools are used in the Azure Data Engineer course?
The course includes Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage (ADLS Gen2), Azure SQL Database, and other Azure cloud data engineering tools.
What job roles are available for Azure Data Engineer professionals?
- Azure Data Engineer
- Cloud Data Engineer
- Azure Analytics Engineer
- Data Integration Engineer
- Big Data Engineer
- Azure ETL Developer
What are the advantages of the Azure Data Engineer course?
- High demand for cloud data professionals
- Advanced Azure technology exposure
- Strong career opportunities in analytics
- Global employment possibilities
- Excellent salary and career growth
What kind of projects will I work on in Azure Data Engineer Training?
Learners work on real-time projects involving ETL/ELT pipeline development, data migration, cloud data warehousing, Azure Data Factory workflows, Databricks, Synapse Analytics, and enterprise analytics solutions.
Do you provide internship opportunities in Azure Data Engineer Training?
Yes, we provide Azure Data Engineer Training Internship opportunities where learners gain hands-on experience with real-time Azure projects, cloud data processing, big data analytics, data pipelines, and enterprise data integration workflows.
How does Azure Data Engineer help in real-world business environments?
Azure Data Engineering helps organizations collect, integrate, transform, and analyze large volumes of data. It enables scalable cloud platforms, automated workflows, advanced analytics, and better business decisions using modern Azure services.
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Overview of Azure Data Engineer Course
Azure Data Engineering is a cloud-based data engineering solution that enables organizations to design, develop, and manage scalable data platforms using Microsoft Azure services. It helps businesses efficiently collect, store, process, transform, and analyze large volumes of structured and unstructured data to support business intelligence, advanced analytics, and digital transformation initiatives. The Azure Data Engineer Course helps learners understand Azure cloud architecture, data storage solutions, ETL/ELT processes, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage, and big data processing techniques. The training provides practical exposure to designing data pipelines, building cloud data warehouses, implementing data integration workflows, and developing analytics solutions using industry-standard Azure technologies. The Azure Data Engineer Course also focuses on real-time projects, case studies, and hands-on exercises that help learners develop strong technical skills in cloud data management, automation, and enterprise data solutions. With Azure Data Engineering expertise, professionals can build secure, scalable, and high-performance data platforms that improve operational efficiency, enable real-time insights, and support modern business decision-making.
Additional Info
Job Roles and Responsibilities for Azure Data Engineer
- Pipeline Development: Design and maintain scalable Azure data pipelines to collect, process, and transform data from multiple sources for analytics and business intelligence.
- ETL Management: Build ETL/ELT workflows using Azure Data Factory and Azure services to integrate data efficiently across enterprise applications and platforms.
- Data Storage: Manage Azure Data Lake Storage, SQL Database, Blob Storage, and cloud warehouses to ensure secure, reliable, and optimized data management.
- Big Data: Process large datasets using Azure Databricks, Apache Spark, and Synapse Analytics to deliver advanced analytics and high-performance data solutions.
- Analytics Support: Prepare datasets, improve data quality, enable real-time analytics, and support business intelligence reporting for better decision-making.
- Cloud Security: Integrate Azure data services with enterprise systems while implementing governance, encryption, security controls, and access management practices.
Widely Used Tools and Platforms in Azure Data Engineer Training
- Azure Data Factory: Learn to design, schedule, automate, and monitor ETL/ELT pipelines using Azure Data Factory for efficient data integration and workflow management.
- Synapse Analytics: Gain practical knowledge in cloud data warehousing, SQL processing, big data analytics, and enterprise reporting using Azure Synapse Analytics.
- Databricks: Learn Apache Spark, PySpark, data transformation, machine learning integration, and large-scale data processing using Azure Databricks.
- ADLS Gen2: Understand secure and scalable cloud storage management for structured and unstructured data using Azure Data Lake Storage Gen2.
- Azure SQL: Learn cloud database management, query optimization, data migration, and relational database administration using Azure SQL Database.
- Blob Storage: Understand how to store, manage, and access large volumes of unstructured data efficiently using Azure Blob Storage services.
Essential Skills Acquired Through Azure Data Engineer Training
- Cloud Skills: Develop expertise in designing, building, and managing scalable cloud-based data engineering solutions using Microsoft Azure services and technologies.
- Data Integration: Gain knowledge of ETL/ELT processes, data ingestion, transformation, orchestration, and workflow automation for efficient data management.
- Big Data: Learn Azure Databricks, Apache Spark, Synapse Analytics, and distributed data processing techniques to manage large-scale datasets effectively.
- Analytics Skills: Understand cloud data warehousing, real-time analytics, dashboard reporting, and business intelligence implementation using Azure solutions.
- Problem Solving: Improve analytical thinking and troubleshooting skills to resolve data engineering, performance, and integration challenges efficiently.
- Cloud Security: Learn Azure service integration, secure data management, governance, monitoring, and compliance practices for enterprise environments.
Future Scope of Azure Data Engineer Training
- Cloud Demand: Growing adoption of Microsoft Azure across industries creates strong demand for skilled Azure Data Engineers to build and manage cloud data platforms.
- Big Data: Azure Data Engineering skills support large-scale data processing, cloud analytics, business intelligence, and AI-driven applications in modern enterprises.
- Career Roles: Professionals can advance into roles such as Azure Data Engineer, Cloud Data Engineer, Data Integration Engineer, Analytics Engineer, and Cloud Architect.
- Digital Growth: Azure Data Engineering helps organizations modernize data infrastructure, automate workflows, and enable real-time insights through cloud solutions.
- Salary Growth: Certified Azure Data Engineers are valued by global enterprises and consulting firms, offering competitive salaries and long-term career opportunities.
- Global Scope: Azure expertise enables professionals to work with multinational companies, cloud providers, and technology consulting organizations worldwide.
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Need customized curriculum?
Hands-on Real-Time Azure Data Engineer Course Projects
Project 1
ETL Pipeline Automation
Create scalable ETL/ELT pipelines using Azure Data Factory to automate data processing, transformation, and integration for enterprise data workflows.
Project 2
Cloud Warehouse Design
Build cloud data warehouses using Azure Synapse Analytics and Azure SQL Database to support reporting, analytics, and business intelligence solutions.
Project 3
Big Data Processing
Analyze large datasets using Azure Databricks, Apache Spark, and Data Lake Storage to develop efficient big data processing solutions.
Project 4
Data Workflow Integration
Integrate enterprise data sources, automate workflows, monitor pipelines, and optimize cloud data processing using Azure services.
Our Best Hiring Partners for Azure Data Engineer Placement Support
- Advance your career with Azure Data Engineer Placement Support through practical training in cloud data engineering, ETL, data warehousing, big data processing, and analytics using real-time projects.
- Get expert guidance to enhance your resume, communication skills, technical knowledge, and interview preparation with dedicated Azure Data Engineer Placement support for better career opportunities.
- Access career opportunities with leading companies like HCL, Wipro, Accenture, TCS, IBM, Infosys, Capgemini, and other global organizations offering Azure-related roles.
- Gain hands-on experience through projects involving Azure Data Factory, Synapse Analytics, Databricks, Data Lake Storage, ETL pipelines, and cloud data integration solutions.
- Prepare for roles such as Azure Data Engineer, Cloud Data Engineer, Analytics Engineer, Data Integration Engineer, Big Data Engineer, and Azure ETL Developer in leading organizations.
- Benefit from placement support including mock interviews, aptitude training, resume building, career mentoring, technical guidance, and job assistance to improve professional skills.
Azure Data Engineer Certification with Industry Recognition
The Azure Data Engineer Certification is recognized by organizations seeking professionals with expertise in cloud data engineering, data integration, ETL/ELT pipelines, big data processing, data warehousing, and analytics. It validates skills in Azure Data Factory, Synapse Analytics, Databricks, Data Lake Storage, cloud security, and enterprise data solutions. This Azure Data Engineer Certification course helps learners enhance technical knowledge, improve career prospects, and gain practical experience through real-time projects, data pipeline development, and hands-on Microsoft Azure implementation.
Complete Your Course
a downloadable Certificate in PDF format, immediately available to you when you complete your Course
Get Certified
a physical version of your officially branded and security-marked Certificate.
Get Trained With Our Effective Azure Data Engineer Trainers
- Our Azure Data Engineer trainers are certified professionals with expertise in Azure Data Factory, Synapse Analytics, Databricks, Data Lake Storage, and cloud data integration solutions.
- Trainers simplify complex Azure Data Engineering concepts through interactive sessions, practical demonstrations, case studies, and hands-on exercises for effective learning.
- Industry experts provide placement guidance, project exposure, implementation strategies, and career mentoring with real-world enterprise cloud data experience.
- Trainers share practical knowledge of Azure architecture, data engineering practices, implementation methods, industry trends, and modern cloud technology requirements.
- Our trainers bring experience from global enterprises and technology companies, delivering valuable Azure Data Engineering insights through every training session.
- Top MNC personnel provide placement help, real-time project exposure, industry role expertise, and certified Azure Data Engineer trainers with more than seven years of experience.
Authorized Partners
ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS .
Career Support
Placement Assistance
Exclusive access to ACTE Job portal
Mock Interview Preparation
1 on 1 Career Mentoring Sessions
Career Oriented Sessions
Resume & LinkedIn Profile Building
We Offer High-Quality Training at The Lowest Prices.
Affordable, Quality Training for Freshers to Launch IT Careers & Land Top Placements.
What Makes ACTE Training Different?
Feature
ACTE Technologies
Other Institutes
Affordable Fees
Competitive Pricing With Flexible Payment Options.
Higher Fees With Limited Payment Options.
Industry Experts
Well Experienced Trainer From a Relevant Field With Practical Training
Theoretical Class With Limited Practical
Updated Syllabus
Updated and Industry-relevant Course Curriculum With Hands-on Learning.
Outdated Curriculum With Limited Practical Training.
Hands-on projects
Real-world Projects With Live Case Studies and Collaboration With Companies.
Basic Projects With Limited Real-world Application.
Certification
Industry-recognized Certifications With Global Validity.
Basic Certifications With Limited Recognition.
Placement Support
Strong Placement Support With Tie-ups With Top Companies and Mock Interviews.
Basic Placement Support
Industry Partnerships
Strong Ties With Top Tech Companies for Internships and Placements
No Partnerships, Limited Opportunities
Batch Size
Small Batch Sizes for Personalized Attention.
Large Batch Sizes With Limited Individual Focus.
LMS Features
Lifetime Access Course video Materials in LMS, Online Interview Practice, upload resumes in Placement Portal.
No LMS Features or Perks.
Training Support
Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.
Limited Mentor Support and No After-hours Assistance.
FAQs
Looking for better Discount Price?
Call now: +91-7669 100 251 and know the exciting offers available for you!
Does ACTE provide placement?
- ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
- We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
- More than 3500+ students placed in last year in India & Globally
- ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
- 85% percent placement record
- Our Placement Cell support you till you get placed in better MNC
- Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
Is ACTE certification good?
The ACTE certification validates Azure Data Engineer skills and knowledge, helping learners demonstrate their expertise in Product Lifecycle Management processes and improve career opportunities.
Work on live projects?
Yes, the Azure Data Engineer Course includes real-time projects that provide practical exposure to product data management, engineering changes, document management, and lifecycle processes.
Who are the trainers?
Azure Data Engineer trainers are industry professionals with extensive SAP and Product Lifecycle Management experience, providing practical and job-oriented training.
What if I miss one or more class?
You can access recorded sessions and study materials to continue learning Azure Data Engineer Course content without interruption.
What training modes are offered for Azure Data Engineer Course?
The Azure Data Engineer Course is available through online, classroom, one-on-one, fast-track, and customized training modes based on learner requirements.
Why should I learn Azure Data Engineer Course at ACTE?
Learn Azure Data Engineer Course at ACTE with expert trainers, practical projects, certification support, placement assistance, and industry-focused learning methods.
Can I access the course material in online?
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
Will I get practical training in Azure Data Engineer Course?
Yes, Azure Data Engineer Course includes hands-on training through real-time projects, exercises, case studies, and practical implementation scenarios.
Is job assistance provided after Azure Data Engineer Course?
Yes, job assistance includes resume building, interview preparation, career guidance, and placement support for Azure Data Engineer-related roles.
What certification will I receive after course completion?
You will receive an ACTE Azure Data Engineer Course completion certification after successfully completing the training program.
How do I access recorded lessons for Azure Data Engineer Course?
Recorded Azure Data Engineer Course sessions are available after enrollment, allowing learners to study flexibly at their own pace.
How do I enroll for the Azure Data Engineer course at ACTE?
You can contact our support number at +91 76691 00251. Directly complete the payment process through ACTE’s payment system or visit any of the ACTE branches in India.
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Job Opportunities in Azure Data Engineer
Over 35% of IT professionals prefer Microsoft Azure, one of the most popular and in-demand platforms for cloud computing and data engineering solutions.
Salary In Azure Data Engineer
- Azure Data Engineer (Fresher) ₹3 LPA – ₹6 LPA
- Azure Data Analyst ₹3 LPA – ₹5 LPA
- ETL Developer ₹4 LPA – ₹6 LPA
- Data Pipeline Engineer ₹4 LPA – ₹6 LPA
- Big Data Engineer ₹4 LPA – ₹6 LPA
- Azure Data Architect ₹6 LPA – ₹8 LPA
- Senior Azure Data Engineer ₹7 LPA – ₹10 LPA
