Azure Data Engineer Training
Welcome to Quality Thought, where practical learning meets real-world data engineering applications. Our Azure Data Engineering training helps learners build practical skills in Azure Data Factory, Azure Databricks, Microsoft Fabric, SQL, PySpark, data pipelines, and data processing. Explore More Courses from Quality Thought to discover additional career-focused training programs.
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Batch Details & Schedule
Choose a learning format and schedule that fits your lifestyle
Course Features & Highlights
Everything you need to build practical Azure Data Engineering skills
Live Projects
Work on real-world projects from day one with industry use cases
Expert Trainers
Learn from industry professionals with 10+ years of experience
100% Placement Support
Dedicated placement cell with assistance until you get hired
Industry Certification
Get certified and boost your resume with recognized credentials
LMS Access
Access to learning materials and recorded sessions
Mock Interviews
Weekly mock interviews to prepare you for real job scenarios
Resume Building
Professional resume preparation and LinkedIn profile optimization
Soft Skills Training
Communication, aptitude, and personality development sessions
Additional Benefits
● Pay After Placement Options Available
● Flexible Payment Plans
● 6-12 Months LMS Access
● Doubt Clearing Sessions
● 24/7 Learning Support
● Mega Job Drives
Your Path to Mastery
Comprehensive training designed to accelerate your career
Exclusive Training
- Training by Industry practitioners
- Capstone projects
- LMS access for 6 months
- Course completion certificate from Quality Thought
- Daily doubt clarification sessions
- Resume building session
- Linkedin & Github guidance
- Interview questions preparation
- 1 mock interview
- Placement referral support
- Course Fee: ₹30,000
Complete Course Curriculum
Comprehensive modules covering Azure Data Factory, ADLS, Azure SQL, Databricks, Synapse, PySpark, and data engineering
Basics of Cloud Computing
- What is Cloud Computing?
- Private, Public & Hybrid Cloud
- IaaS, PaaS & SaaS
Introduction to Big Data
- What is Data & Big Data?
- Structured, Semi-Structured & Unstructured Data
- Data Warehouse & Data Warehouse Architecture
- Big Data Sources & Characteristics
- Volume, Velocity, Variety, Veracity & Value
Introduction to Azure
- Create an Azure Account
- Azure Portal Overview
- Subscriptions & Resource Groups
- Blob Storage & Data Lake Storage
- Azure SQL Server & Database
- Azure Data Factory
Azure Data Lake Storage (ADLS)
- Create Storage & ADLS Accounts
- Configure Access to ADLS
- Load Data to ADLS
- Read & Write Data
- Backup & Disaster Recovery
Azure SQL
- Create Azure SQL Server & Database
- Elastic Pools
- Compute Resources
- Access & Security
- Connect Azure SQL with Data Factory & Databricks
Azure Data Factory
- Data Factory UI & Components
- Integration Runtime
- Linked Services & Datasets
- Pipelines & Activities
- Parameters & Variables
- Triggers
- Data Flows & Transformations
- Monitoring & Debugging
- Logic Apps & Key Vault Integration
- GitHub & ARM Templates
Azure Databricks & Spark
- Databricks Workspace & Clusters
- Databricks Notebooks
- Spark Architecture
- RDD, DataFrame & Dataset
- DBFS & dbUtils
- External Resource Integration
- Delta Lake
- Optimization Techniques
PySpark
- Python Fundamentals
- PySpark Introduction
- Read & Write CSV, JSON, Parquet, SQL & ADLS Data
- Data Transformations
- Joins, Unions & Aggregations
- Window, String & Date Functions
- Conditional Statements & Loops
- User-Defined Functions
- Spark SQL
Azure Synapse
- Synapse Architecture
- Create & Configure Synapse
- Serverless & Dedicated SQL Pools
- Apache Spark Pool & Data Explorer Pool
- Synapse with ADLS
- External Tables & Views
- Synapse Transformations
- Delta Lake Integration
- Power BI Integration
- =
Real-Time Data Engineering Scenarios
- Real-Time Azure Data Factory Scenarios
- Dynamic Pipelines & Parameters
- Incremental Data Loading
- Pipeline Monitoring & Logging
- Failure Notifications & Alerts
- Scheduling & Tumbling Window Triggers
- Git & DevOps Integration
- Real-Time Databricks Scenarios
Comprehensive Azure Data Engineering Program
Azure Data Factory • ADLS • Azure SQL • Databricks • Synapse • PySpark
Prerequisites & Eligibility
Everything you need to get started with Azure Data Engineering
- Course Prerequisites
- Interest in working with data pipelines and data transformation
- Willingness to learn Azure Data Factory, Databricks, Synapse, and PySpark
- Basic understanding of data concepts is helpful
- Interest in cloud computing and data engineering
- Willingness to learn Azure data services
Why Choose Quality Thought
Your success is our priority. Here’s what makes us the best choice for your career growth
17+
Years Experience
10,000+
Students Trained
500+
Hiring Partners
95%
Placement Rate
17+ Years of Excellence
Established training institute with proven track record of producing industry-ready professionals
Expert Faculty
Learn from trainers with 10+ years of real-world industry experience in leading tech companies
100% Placement Assistance
Dedicated placement cell with tie-ups with 500+ companies. We support you until you get hired
Comprehensive Curriculum
Updated syllabus covering latest technologies and industry best practices with hands-on projects
Career Growth Focus
Not just training, but complete career transformation with soft skills and interview preparation
Pay After Placement
Flexible payment options including pay after placement for eligible candidates
Flexible Batches
Multiple batch timings to suit working professionals, students, and freshers
Live Project Experience
Work on real client projects during internship at Ramana Soft IT company
We provide innovative placement solutions with direct access to hiring companies, paid internship programs, and comprehensive training that transforms freshers into job-ready professionals. Our proven methodology has helped thousands launch successful tech careers through the Azure D ata Engineer bootcamp course and Azure Data Engineer Internship course.
Certification
Get industry-recognized certification that validates your skills and boosts your career prospects
Certificate of Completion
Azure Data Engineer
This certifies that
[Your Name]
has successfully completed the
Azure Data Engineer
Training Program
Quality Thought
Ameerpet, Hyderabad
Certificate ID
QT-2024-XXXX
- Certificate Includes
- Industry-recognized course completion certificate
- Certification from Quality Thought institute
- Additional internship certificate from Ramana Soft (for eligible program)
- Digital certificate with unique verification ID
- Shareable on LinkedIn and other professional platforms
- Valid proof of skill acquisition for employers
- Includes detailed syllabus covered
- Project completion certificates
Industry Recognition
Our certificates are recognized by leading companies and add credibility to your resume
Skill Validation
Proves your expertise in Azure Data Engineering and the technologies covered in the program
Career Advancement
Increases your chances of getting hired and helps in salary negotiations
Digital & Physical
Get both digital certificate for online sharing and physical certificate for framing
Course Certificate
Upon successful completion of training program
Internship Certificate
For I&I program from Ramana Soft IT Company
Project Certificate
For major projects completed during training
Frequently Asked Questions
What is Azure Data Engineering with Fabric?
Azure Data Engineering with Fabric is the practice of building data ingestion, transformation and storage pipelines on Microsoft Azure using Azure Data Factory, Databricks and Microsoft’s unified analytics platform. The Fabric layer adds OneLake storage, Lakehouse and Warehouse workloads, and direct Power BI integration on top of classic Azure data services.
What does the Quality Thought Azure Data Engineering course cover?
The course covers SQL and Python foundations, Azure Data Factory pipelines, ADLS Gen2 and Delta Lake, Azure Databricks with PySpark, Azure Synapse Analytics, and Microsoft Fabric including OneLake, Lakehouse, Warehouse, Data Pipelines and Dataflows. It also includes hands-on end-to-end project work. Learners interested in Microsoft Fabric training can use this curriculum to build practical skills, while DP-700 certification training can complement their certification preparation.
Is this course available online across India?
Yes, Quality Thought delivers this course as live online training for learners anywhere in India, alongside classroom batches at its Hyderabad centre. Learners looking for Azure Data Engineering training in Hyderabad can consider the classroom option, while those planning a career change to data engineering can choose the delivery format that fits their learning needs.
Do I need prior programming experience to join?
No, the course opens with a foundation module in SQL and Python built for learners without a programming background before moving into pipeline and Spark workflows. This structured approach can support learners interested in Azure Data Engineering for non-IT beginners.
How long is the Azure Data Engineering with Fabric course?
Confirm the current published duration in weeks and total instruction hours with the academic team before this answer goes live. These details can be considered alongside curriculum depth and practical learning when researching the best Azure Data Engineering course 2026.
What are the course fees?
Fees vary by batch and delivery mode. Call Quality Thought on +91 9963486280 for current pricing and any instalment options.
Do I need an Azure subscription of my own?
You will work in guided lab environments during the course, and you are also shown how to use the Microsoft Azure free tier and Fabric trial capacity so you can keep practising afterwards.
Is Microsoft Fabric replacing Azure Data Factory and Synapse?
Fabric consolidates a lot of what Synapse and Data Factory did into one SaaS platform, but large numbers of organisations still run ADF and Synapse in production, which is why this course teaches both the classic services and the Fabric equivalents.
What job roles can I apply for after this course?
Graduates typically target Azure Data Engineer, ETL Developer, Data Platform Engineer, Analytics Engineer and Fabric Data Engineer roles. These roles can be relevant when researching Azure Data Engineering jobs USA, while learners with analytics experience can use the programme to support a data analyst to data engineer transition.
Is placement assistance included?
Yes, the programme includes resume review, mock interviews and placement assistance for eligible learners who complete the course and the capstone project. Placement assistance is support, not a guarantee of a job offer. The practical curriculum can also be adapted for organizations considering Azure Data Engineering corporate training.
Ready to Build Your Career in Azure Data Engineering?
Build practical Azure Data Engineering skills with Azure Data Factory, ADLS, Azure SQL, Databricks, Synapse, PySpark, and Delta Lake. Learn to create data pipelines, transform data, integrate Azure services, and work with real-time data engineering scenarios.
