Our Hiring Partners
Gain Our Intelligent Practical Azure Data Engineer Training in OMR
- The primary goal of our Azure Data Engineer Training in OMR is to help learners gain strong expertise in core data engineering concepts and build scalable, secure Azure-based solutions for real-time business needs using modern cloud tools, hands-on practice, and industry best practices.
- Starting with Azure fundamentals, the course explores Azure Data Factory, Synapse Analytics, Databricks, ETL workflows, and data integration methods, enabling learners to efficiently manage, process, and analyze large-scale data while building strong cloud-based data engineering expertise.
- SThrough hands-on sessions and real-time projects, learners gain practical experience in building data pipelines, transforming datasets, managing cloud data warehouses, and deploying secure, scalable, high-performance Azure solutions for real-world business applications.
- Our Azure Data Engineer Training in OMR is delivered by certified Azure professionals with extensive industry experience, offering practical insights, real-world implementation strategies, troubleshooting techniques, and hands-on project guidance to ensure learners gain job-ready, industry-relevant skills.
- Upon successful completion, learners receive comprehensive placement support, including resume building, mock interviews, career mentoring, and job assistance. This helps them strengthen interview skills, gain confidence, and increase their chances of securing roles in top IT and cloud organizations.
- The training incorporates real-world industry case studies and proven best practices, enabling learners to understand practical business scenarios, apply effective solutions, and develop job-ready Azure Data Engineering skills aligned with current market demands and enterprise expectations.
What You Will Learn in Azure Data Engineer Training in OMR
Join Azure Data Engineer Training in OMR to gain strong expertise in Azure services, ETL workflows, and Big Data technologies.
Develop practical skills through real-time projects focused on data pipeline creation and cloud data integration.
Learn tools such as Azure Data Factory, Synapse Analytics, and Databricks to design secure, scalable, and efficient data solutions.
Learn tools such as Azure Data Factory, Synapse Analytics, and Databricks to design secure, scalable, and efficient data solutions.
Your IT Career Starts Here
550+ Students Placed Every Month!
Get inspired by their progress in the Career Growth Report.
- 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
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%
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
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 Course in OMR
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
Azure Data Engineer Course Objectives
What is Azure Data Engineer Training in OMR?
What are the prerequisites to learn the Azure Data Engineer course?
Is the Azure Data Engineer course beneficial for the future?
- High demand for Azure Data Engineers
- Strong career growth opportunities
- Attractive salary packages
- Increasing demand for cloud and big data professionals
Can beginners learn Azure Data Engineering from scratch?
What are the goals of the Azure Data Engineer course?
- Understanding Azure data services and cloud architecture
- Building and managing scalable data pipelines
- Gaining expertise in ETL, data integration, and big data processing
- Designing secure and efficient cloud-based data solutions
How is career growth after completing the Azure Data Engineer course?
- Azure Data Engineer
- Data Analyst
- Big Data Engineer
- Cloud Data Architect
What tools are used in the Azure Data Engineer course?
What job positions are available for Azure Data Engineer professionals?
- Azure Data Engineer
- Data Engineer
- Cloud Data Engineer
- Business Intelligence Developer
- Big Data Engineer
What are the advantages of the Azure Data Engineer course?
- Strong demand in IT and cloud industries
- Opportunities to work with modern cloud technologies
- High-paying career options in data engineering
- Global job opportunities with long-term career growth
How challenging is Azure Data Engineering?
What kind of hands-on learning can you expect from an Azure Data Engineer course?
How long does it take to complete the Azure Data Engineer course?
Overview of Azure Data Engineer Course in OMR
Azure Data Engineer course in OMR is a robust cloud-based data management and analytics domain that enables organizations to efficiently collect, process, transform, and manage large volumes of data in scalable environments. The Azure Data Engineer Course in OMR helps learners build a strong understanding of core Azure data concepts and modern data workflows, while enabling them to design secure data pipelines, integrate multiple data sources, and optimize cloud-based architectures using Microsoft Azure services. With tools such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Data Lake, this course develops strong expertise in big data processing, real-time analytics, data warehousing, and business intelligence solutions. Its capabilities in scalability, automation, security, and high-performance computing make it ideal for enterprise-level analytics, digital transformation, and data-driven business operations.
Additional Info
Job Roles and Responsibilities for Azure Data Engineer
- Azure Data Engineer : Designs and develops scalable Azure data pipelines using tools like Data Factory, Synapse, and Databricks to enable efficient data ingestion, transformation, and integration.
- Data Architect : Designs secure, scalable, and high-performance data architectures by creating data models, storage systems, and integration frameworks for enterprise data management.
- Big Data Engineer : Handles large-scale structured and unstructured data using Azure and big data technologies, optimizing data workflows and enabling real-time analytics.
- Cloud Data Engineer : Builds and maintains secure cloud-based data infrastructure while ensuring data governance, compliance, and smooth data movement across Azure environments.
- Business Intelligence Developer : Develops dashboards and reports using visualization tools to convert raw data into meaningful insights that support business decision-making.
- ETL Developer : Designs and implements ETL workflows to extract, transform, and load data from multiple sources into centralized systems for accurate and automated data processing.
Popular Tools Taught in Azure Data Engineer Training in OMR
- Azure Data Factory: A cloud-based data integration service used to create, schedule, and manage data pipelines for seamless data movement and transformation across multiple sources.
- Azure Synapse Analytics: A unified analytics platform that combines data warehousing and big data processing capabilities for large-scale analytics and business intelligence solutions.
- Azure Databricks: An Apache Spark-based analytics platform used for big data processing, real-time analytics, and collaborative machine learning and data engineering tasks.
- Azure Data Lake Storage: A highly scalable and secure data storage solution designed to store both structured and unstructured data for advanced analytics and big data processing.
- Apache Spark: A distributed computing framework used for fast large-scale data processing, real-time analytics, and big data computation in cloud environments.
- Power BI: A data visualization and business intelligence tool used to create interactive dashboards and reports that transform raw data into meaningful insights.
Career Scope of Azure Data Engineer Training in OMR
- Growing Demand: The rapid adoption of cloud computing and data-driven technologies has significantly increased the demand for Azure Data Engineers to build and manage scalable data solutions.
- Versatile Career Opportunities: Azure Data Engineers can work across data analytics, cloud computing, business intelligence, and big data domains, handling diverse responsibilities across industries.
- Strong Data Management Skills: Professionals gain expertise in managing large datasets, optimizing data pipelines, and improving system performance to support effective business decisions.
- Integration with Advanced Technologies: Azure Data Engineering integrates with AI, machine learning, Apache Spark, and real-time analytics, enabling innovative and advanced data solutions.
- Continuous Learning Opportunities: The evolving cloud ecosystem offers continuous learning through certifications and hands-on experience, helping professionals stay updated with industry trends.
- Remote and Global Work Options: Cloud-based Azure environments support remote and hybrid work models, enabling collaboration with global teams and international projects.
- Career Advancement: With experience, professionals can progress into senior roles such as Azure Data Architect, Cloud Data Engineer, and Big Data Engineer with higher salary packages and responsibilities.
Future Prospects for the Azure Data Engineer Course
- High Demand in Every Industry: Azure Data Engineers are in great demand across sectors like IT, banking, healthcare, and e-commerce. This ensures strong job stability and career opportunities.
- Excellent Career Development: Offers strong growth opportunities, allowing professionals to advance into roles such as Lead Data Engineer or Data Architect with higher responsibilities and salaries.
- Expanding Cloud and Data Market: The increasing adoption of cloud technology is driving demand for Azure Data Engineers. Organizations rely on skilled professionals to manage and analyze data.
- Global Employment Prospects: Azure certification opens doors to international and remote job opportunities. Professionals can work with companies across different countries.
- Integration with AI and Advanced Analytics: Combining AI and advanced analytics enhances career opportunities. It helps professionals stay competitive in the evolving technology landscape.
- Certification and Continuous Learning: Microsoft certifications validate expertise in Azure data technologies. Continuous learning helps professionals stay updated with the industry requirements.
Useful Real-Time Projects for Azure Data Engineer Education
Project 1
Data Pipeline Automation Project
Create and automate data pipelines with Azure Data Factory to ingest, manipulate, and load data from multiple sources. Ensure accurate and efficient data processing across platforms.
Project 2
ETL Implementation Project
Integrate data from several sources into Azure SQL Database and Azure Data Lake by creating ETL procedures. Focus on transformation, cleaning, and seamless data transmission.
Project 3
Economical Data Storage Project
Use Azure Data Lake to handle large volumes of data while optimizing performance and storage costs. Organize data effectively and monitor usage to enhance resource management.
Project 4
Data Security Implementation Project
Implement data security using Azure Active Directory, role-based access, and governance features. Ensure controlled access, compliance, and protection across the entire data platform.
Azure Data Engineer Placement Support and Hiring Partners
- In order to help them confidently students who successfully complete our Azure Data Engineer course receive committed Azure Data Engineer placement support through both in-person and online training.
- Because of our solid relationships with top businesses like HCL, Wipro, Accenture, TCS, and IBM, students have access to fantastic employment prospects in a variety of fields and industries.
- With the help of our Azure Data Engineer placement support, students may monitor interview schedules, get updates, and regularly learn about the most recent positions through a dedicated employment portal.
- We begin setting up interview opportunities and offering targeted training for both technical and HR interview rounds to enhance performance once students have finished 70% of the course.
- Our trainers assist students in crafting polished resumes that effectively emphasise the competencies needed for Azure Data Engineering positions and conform to current industry standards.
- In order to help students find the best job prospects in prestigious companies, a committed placement support team works closely with each student to understand their skills and career goals.
Azure Data Engineer Certification – Industry Recognized
Obtain an industry-recognized certification that attests to your proficiency in cloud data engineering by earning our Azure Data Engineer certification. This Azure Data Engineer certification combines in-depth academic knowledge with practical instruction, making it suitable for both novices and seasoned professionals. You will obtain a certification that boosts your resume and increases your chances of landing jobs at prestigious MNCs after completing the course and real-time assignments successfully. The programme guarantees that you will acquire the practical experience and job-ready abilities necessary to succeed in actual Azure Data Engineering scenarios.
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.
Learn from Skilled Azure Data Engineering Trainers
- With over seven years of experience in cloud and data engineering, our Azure Data Engineer programme is led by certified trainers who provide industry-focused training aligned with current project requirements.
- Our Azure Data Engineering trainers are working professionals who help students understand real-world challenges and solutions in practical data engineering environments.
- Trainers are associated with leading companies such as Cognizant, Dell, Infosys, IBM, TCS, and HCL, ensuring high-quality, industry-relevant Azure Data Engineer training.
- They also support students with placement assistance through internal hiring processes and employee referrals, improving job opportunities after course completion.
- Our Azure Data Engineering trainers have deep expertise in Azure data services and tools, delivering practical and career-oriented training that prepares students for real-world Azure Data Engineer roles.
- Recognized by reputed IT organizations, we consistently maintain high standards in delivering quality Azure training and effective learning experiences.
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.
Azure Data Engineer Course FAQs
Looking for a better discount price?
Does ACTE provide placement?
- ACTE is the Legend in offering placement to the students. Please visit our Placed Student list on our website
- Strong working relationships with more than 700 of the world's leading multinational corporations, including SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM, and more
- More than 3500+ students placed last year in India & Globally
- ACTE conducts development sessions, including mock interviews and presentation skills, to prepare students to easily face a challenging interview situation
- 85% placement record
- Placement Cell support until you get placed in a better MNC
- FREE Lifetime Online Student Portal with access to Job Openings, Study Materials, Videos, Recorded sections & Top MNC interview Questions
Is ACTE certification good?
Work on live projects?
Who are the trainers?
What if I miss one (or) more class?
- Request make-up lessons
- See recorded sessions
- Use tools and course materials to cover missed content
What are the modes of training offered for this Azure Data Engineer course?
Why should I learn an Azure Data Engineer certification course at ACTE?
What certification will I receive after course completion?
Will I be given sufficient practical training in the Azure Data Engineer?
- Interactive sessions
- Real-world projects
- Hands-on exercises to build proficiency
- Group discussions and mock interviews
- Preparation for both technical challenges and collaborative environments
How do I enroll for the Azure Data Engineer course at ACTE?
Can I access the course material online?
How do I access the pre-recorded lessons for this course?
Is there any job assistance provided after completing the course?
- Resume building support
- Interview preparation guidance
- Connections with potential employers
- Dedicated job assistance after course completion
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
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