Azure Data Engineer Training In Hyderabad
With
100% Placement Assistance
- Online |
- Class Room |
- 2 - 3 Months |
- Lifetime LMS
- | 1,000+ learners
- |⭐ 4.8/5
- Join the best Azure Data Engineer training in Hyderabad and become Microsoft-certified. Gain real-time experience with Azure Data Factory, Databricks, Synapse, SQL & Python through live projects, DP-203 exam guidance, and guaranteed placement assistance.
Azure Data Engineer Course in Hyderabad
Next Batch Details
| Trainers Name | Mr. Dinesh | |
| Trainers Experience | 10+ Years of Real Time Experience | |
| Next Batch Date | 27/10/2025 ( 9:30 AM IST ) | |
| Training Modes | Online , Offline | |
| Course Duration | 2 – 3 Months | |
| Call us at | +91 98824 98844 | |
| Email Us at |
| |
| Demo Class Details | ENROLL FOR FREE DEMO CLASS |
Why Choose Azure Data Engineer Training in Hyderabad?
- Learn from certified experts with 10+ years of cloud and data engineering experience.
- Comprehensive Curriculum
- Covers advanced topics like Databricks
- Gain real-world skills with Azure Data Lake, Pipelines, IoT, and Big Data projects.
- Covers most Advanced Topics needed in industry
- Affordable Fees
- Sessions available in English and Telugu for easy understanding.
- Bilingual Learning: English & Telugu
- Online & Offline Batches in Hyderabad
- Real-Time projects with practical Implementation
- Life Time LMS Access
- Practice Session
- Get dedicated Support for resume building mock interviews and job referrals
- Interview Preparation
- Resume Preparation
- Get guidance for DP-203 and other Azure certifications.
-
Mock Interview Sessions
Azure Data Engineer Course Curriculum (Module-wise)
1. Spark Architecture & Concepts
2. PySpark DataFrames and SQL
3. ETL with PySpark
4. Aggregations, joins, transformations
5. ETL Pipeline with PySpark for batch processing
6. Azure SQL Database
7. Table creation, indexing, procedures
8. Cosmos DB (NoSQL)
9. Partitioning, consistency models
10. Practice: Querying, indexing, and partitioning in Azure SQL & Cosmos DB
11. Synapse Studio Overview
12. Serverless vs Dedicated SQL Pools
13. Integration with Azure Data Lake
14. Query Performance Tuning
15. Practice: End-to-end analytics workflow using Synapse + Data Lake
16. ADF Pipelines: structure & triggers
17. Data flows, Copy activity
18. Linked services, Integration runtime
19. Monitoring & Debugging
20. Practice : Automated data movement using ADF pipelines
21. Databricks Notebooks & Clusters
22. Delta Lake for storage & updates
23. Integration with ADF
24. Practice: ML pipelines using PySpark in Databricks
25. Data exploration and ML model training in Databricks
26. Azure Stream Analytics basics
27. Access Control with Azure Active Directory
28. Key Vault Integration
29. Git & GitHub basics
30. Branching, commits, collaboration workflow
31. Joins, Aggregations, Window functions
32. Stored Procedures & Triggers
33. Performance tuning techniques
- 8+ Cloud Data Engineering projects
- END -to-End Azure Data Pipeline experience
- GitHub portfolio + Resume-ready Projects
- Hands-on in PySpark, ADF, Synapse, Databricks
- Placement-ready for Data Engineer & Azure roles
- What is Data.
- How many types of data bases(OLTP&OLAP)
- Types Cloud Vendors
- What is on premises and what is cloud
- Differences between on premises and cloud
- what is Cloudcomputing
- what are services offering Microsoft azure
- Advantages of cloud computing
- Types of cloud deployments
- Types of cloudServices
- Microsoft Azure vs AWS
- How to Create Azure Account
- Azure Architecture & Services
- How to Create Resources and Resource Groups in Microsoft Azure
- How to create VirtualMachine
- How to create SQL in virtual machines
- Containers/Blob Storages
- File
- Queues
- Tables
- Blob Storage vs Data Lake
- What is DataLake
- Date Lake Gen1 Vs Gen2
- How to store Data into data lake
- How to Query data from data lake to SQL Server.
- Introduction to Azure Data Lake U-SQL Batch Job
- Data Lake Analytics
- How to Schedule Data Lake Analytics Jobs using Data Factory
- Azure Blob to Data Lake Gen 2 using Data Factory
- What is HD-insight
- Azure SQL
- Dedicated SQL Pool Formerly known as DW
- SQL VM’s
- SQL Managed Instances
- Azure Synapse Warehouse
- Access keys
- Connection strings
- IAM/RBAC
- Share Access Signatures (SAS Tokens)
- Service Principal Identity Mechanism(Tenant ID,Client ID,Secret Key)
- Compare SQL Database vs Azure Data Warehouse
- How to Create Azure Data Warehouse
- How to cross query data in Data Warehouse
- Poly base using Azure Data warehouse
- How to Query Azure SQL Data Warehouse from On-premises SSMS and
Cloud - How to Load Data to Azure Data Warehouse using data Factory from
Azure SQL - How to Load Data from on premises to Cloud SQL DW using data factory
- What is Azure Data Factory vs SSIS
- What is Linked Services
- What is Data Sets
- What is Pipelines
- Parameters vs Variables
- Copy Data
- Monitoring pipelines using different approaches
- Different kinds of integration runtimes
- How to create pipelines from template
- How to do Transformations using Data Flows
- How to configure different Integration Runtimes
- Azure Integration runtime
- Auto resolve Integration runtime
- Azure self Hosted Integration Runtime
- SSIS Integration runtime.
- Triggering the Pipelines by using 3 types of Triggers
- Copy Data
- Web Activity
- Execute Pipeline
- Execute SSIS Package
- Get Metadata
- Lookup
- Stored procedure
- Set Variable
- Delete
- Wait
- Until
- Filter
- For Each
- If Condition
- Until
- Source
- Lookup
- Derived Column
- Alter Row
- Conditional Split
- Sink
- What are ARM Templates using for Deployment
- How to Deploy Data Factory Pipelines DEV, Test, Prod environment
- Version Control and Code Repository in Azure Devops
- Debugging and Monitoring Pipelines
- Error handling and Logging error records
- Lift and Shift SSIS packages in to Azure Data Factory
- What is LogicApps
- How to Create Workflow using Logic Apps in Azure.
- How to Send Mail using Logic app in Azure Data Factory
- What is REST APIS and how to transfer the data from JSON format
into Azure SQL Tables.
- How to create Event hubs and using streaming Analytics how to get
the streaming data and send it to Blob storages By Using Logic
Apps.
- What is Databricks
- How to Create Data Bricks Free Account
- What is Workspace in Data Bricks
- Different Kind of Clusters in Data Bricks
- Basics of Spark.
- What is Note Books
- How to Mount Data take to data bricks using Scala
- Reading data From Blob storage and Writing into Azure sqL
- Reading data From Data Lake storage and Writing into Azure SQL
- using spark sql
- Explore, Analyze, Clean, Transform and Load Data in Data bricks using SqL
- Python vs scata vs SQL
- Configure data bricks
- schedule and Run Notebooks in Azure Data Factory with the realtime
notebooks
- Access Keys
- Shared Access Signature
- Azure Active Directory
- How to register App in Azure Active Directory
- Role Based Access Control
- Azure Key Vaults
- Configuring the folder structures
- Creating Repos
- Creating Releases
- Creating Release pipelines
- Deployments from one environment to another environment
Real-Time Azure Data Engineer Projects in Hyderabad
Our Azure Data Engineer Training in Hyderabad includes multiple hands-on, industry-grade projects that help you apply every concept you learn — from data ingestion and transformation to visualization and reporting. Each project is carefully designed to align with the Microsoft DP-203 certification and real company use cases.
Build a complete ETL data pipeline starting from Azure Blob Storage.
Use Azure Data Factory (ADF) to orchestrate data movement, apply transformations in Azure Databricks (Delta Lake), store processed data in Azure Synapse SQL, and visualize key KPIs in Power BI dashboards with automated daily refresh.
Develop a real-time IoT data streaming architecture using Event Hubs and Azure Stream Analytics. Ingest live sensor data, enrich and aggregate it using Azure Databricks, and store results in ADLS Gen2 following the bronze–silver–gold architecture. Create real-time performance dashboards to monitor KPIs and anomalies.
Design a predictive machine learning pipeline to forecast SKU-level demand.
Use ADF to orchestrate data flows and Databricks ML notebooks to train models. Store predictions in Synapse Analytics and visualize outcomes in Power BI for decision-making.
Project Outcome
By completing these Azure Data Engineer real-time projects, you’ll gain practical exposure to ADF, Databricks, Synapse, Power BI, and Azure Storage, making you fully job-ready for cloud data roles in Hyderabad and globally.
Azure Data Engineer Training Program in Hyderabad
Our Industry Intensive Programs
Freshers
- Start your career with our comprehensive Azure Data Engineering Online Classes , covering SQL, Python, Azure Data Factory, Azure Databricks, Synapse Analytics, Data Lakes, and project-based training.
Experienced
- Client based projects for working professionals
Subject Oriented
Hands On Approach
Getting Job-Ready
Intensive Program
2 - 3 months Duration
27 Oct 2025
Our Advanced program goes beyond the fundamentals, teaching you the latest tools and techniques to succeed as an Azure Data Engineer in today’s competitive job market.
Limited Seats Available
NEXT BATCH
27 Oct 2025(Online & Offline)
Azure Data Engineer Certification Course in Hyderabad
Prepare for the DP-203 exam and become a Microsoft Certified Data Engineer Associate. Follow the Azure certification path to master data pipelines, Synapse Analytics, and Databricks. Know the Azure Data Engineer certification cost and earn official Microsoft credentials to grow as a cloud Azure Certification Training or Azure cloud specialist.
Fundamentals Level (Beginners):
- AZ-900: Azure Fundamentals
DP-900: Data Fundamentals
AI-900: AI Fundamentals
SC-900: Security, Compliance & Identity Fundamentals
Associate Level (Intermediate):
- AZ-104: Azure Administrator Associate
AZ-204: Azure Developer Associate
AZ-500: Azure Security Engineer Associate
DP-203: Azure Data Engineer Associate
DP-300: Azure Database Administrator Associate
AI-102: Azure AI Engineer Associate
Expert Level (Advanced):
AZ-305: Azure Solutions Architect Expert
AZ-400: Azure DevOps Engineer Expert
Specialty Certifications (Niche Roles):
AZ-220: Azure IoT Developer Specialty
AZ-140: Azure Virtual Desktop Specialty
DP-420: Azure Cosmos DB Developer Specialty
AZ-120: Azure for SAP Workloads Specialty
SC-100: Cybersecurity Architect Expert
Tools Covered in Azure Data Engineer Training in Hyderabad
Gain practical experience with industry-standard tools.
Azure Data Engineer Overview in Telugu ?
Best Azure Data Engineer Course In Hyderabad
Training Highlights
Expert Trainers
- Azure Trainings Institute offers experienced trainers with deep knowledge of Azure Data Engineering tools and real-world industry experience, ensuring high-quality learning.
Comprehensive Curriculum
- The training covers all essential topics, including Azure Data Factory, Synapse Analytics, Databricks, and more, providing a thorough understanding of Azure’s data solutions.
Affordable Fees
- Azure Trainings Institute provides affordable learning programs, ensuring high-quality Azure training that’s accessible to every learner without compromising on excellence.
Hands-on Learning
- The institute provides practical Azure Data Engineer training in Hyderabad with real-world projects, helping students gain hands-on experience and industry-ready skills.
Flexible Learning Options
- Students can choose from weekday and weekend batches, making it easier to balance learning with other commitments.
Real time Projects
Microsoft Azure Data Engineer Training in Hyderabad focuses on practical learning with real projects, helping students gain useful hands-on experience.
Interactive Classes
Join live, interactive Azure Data Engineer Online classes in Hyderabad designed for easy, engaging, and hands-on learning with expert trainers.
Life Time Access to Videos & LMS
Get lifetime access to Azure Data Engineer video lessons and study materials in Hyderabad, with unlimited resources for continuous learning and practice.
Covers Most Advanced Topics Needed in Industry
Learn Azure Data Engineering from scratch topics in Hyderabad to stay ahead in cloud data, DP-203 skills, and industry-relevant technologies.
Interview Preparation
- The program provides career counseling, interview preparation, and access to top job openings, preparing students for the job market.
100% Job-Orientated Training Program
Azure Data Engineer Training Institute in Hyderabad offers a special placement program for Azure Data Engineer training in hyderabad, giving students helpful support in finding job opportunities.
Resume Preparation
Azure Trainings offers complete placement support, including resume preparation and interview guidance, to help you gain confidence and succeed in top company interviews.
- Azure Data Engineering focuses on designing, building, and managing scalable data solutions using Microsoft Azure’s cloud ecosystem.
- It helps collect, store, and process data from different sources so businesses can analyze it and make better decisions using tools like Azure Data Factory, Synapse Analytics, and Databricks.
- It involves creating and maintaining Azure Data Factory pipelines for data ingestion, transformation, and automation.
- It's used in many real-life situations, such as creating reports, tracking business performance, and helping AI systems learn from data.
- Professionals work with Azure Synapse Analytics workspaces, Azure Databricks notebooks, and Azure Data Lake storage to process and analyze large datasets.
- The role requires strong problem-solving in data engineering to ensure efficient and reliable data flow across systems.
Best Azure Data Engineer Training in Hyderabad
Objectives
- Azure Data Engineering enables smart data processing, storage, and analysis for better business decisions.
- Cloud Data Engineers and Azure Cloud Engineers help organizations manage and scale large datasets efficiently.
- Data Engineering Professionals and Big Data Engineers use Azure tools to improve performance and innovation.
- Guided by Microsoft Azure Experts and Cloud Data Specialists, companies achieve higher productivity and digital growth.
- A complete overview of cloud to the fundamental concepts cloud Platforms and introduction to azure.
- Explore various types of Azure Tools, like Azure Data Factory, Azure Databricks,Azure Synapse Analytics, Azure Data Lake Storage, and Azure Stream Analytics
- Hands-on experience in implementing tools and building data pipelines, Azure Databricks for big data processing, analytics, and Azure Data Lake Storage for managing unstructured data.
- Guide students in building and managing data pipelines using Azure tools for real-time data.
- Focus on handling large amounts of data, processing it efficiently, and using analytics tools like Azure Data Factory, Synapse, and Databricks.
- Master advanced Azure Data Engineering techniques to store, transform, and optimize cloud data performance.
- Learn to process and analyze text data with AI tools, including document analysis, summarization, and customer feedback insights.
- Understand data security, privacy, and ethics while managing cloud data and AI applications.
- Explore Azure Data Engineering applications across industries like healthcare, finance, retail, and IoT.
- Enhance collaboration through hands-on projects, solving real-world data challenges using Azure Data Factory, Synapse Analytics, Databricks, and other Azure tools.
Azure Data Engineer Online Training
Pre-Requisites
- Basic understanding of cloud computing concepts is recommended for Azure Data Engineer training in Hyderabad to excel in DP-203 and hands-on Azure projects.
- Familiarity with SQL and database concepts is essential for Azure Data Engineer training in Hyderabad to efficiently handle data processing and cloud workflows.
- Having experience with programming languages like Python or Scala is beneficial for Azure Data Engineer training in Hyderabad, enabling efficient data pipeline development and analytics.
- A general understanding of data analytics and ETL processes is advantageous but not mandatory.
Who Should Learn Azure Data Engineer Course
Software Developers & Data Analysts
Developers and Data Analysts who want to transition into Azure Data Engineering, build Azure Data Factory pipelines, and enhance their skills in Azure data processing and cloud tools.
Database Administrators
Database Administrators want to migrate their database management responsibilities to Azure cloud databases like Azure SQL, Cosmos DB, and Synapse Analytics.
Data Analysts and BI Professionals
Individuals looking to create stronger analytical solutions using Azure’s data processing and analytics tools.
Software Developers
Developers looking to understand and implement Azure data engineering tools for tasks like data processing, pipeline development, and creating cloud-based data solutions.
IT Professionals and System Architects
Upgrade your skills to become a Data Engineering Professional. Learn to build and manage Azure Data Factory pipelines, Synapse workspaces, Databricks notebooks, and Data Lake storage for modern cloud data solutions.
Business Intelligence (BI) Professionals
BI professionals who work with Power BI, data modeling, and reporting, and want to expand into Azure data engineering.
Entrepreneurs and Product Managers
Entrepreneurs and Product Managers who want to explore Azure data engineering for data-driven insights, automation, and better decision-making.
Data Engineers
Professionals who want to improve their skills by using Azure data services like Data Factory, Synapse Analytics, Databricks, and Data Lake Storage in their data engineering work.
Freshers who Interested in Data & Cloud
Students studying computer science, data engineering, or related fields, and academics interested in integrating Azure data engineering into their research.
IT Professionals who seeking for a Career Shift
IT professionals looking to shift their careers into Azure data engineering and explore opportunities in cloud data processing and analytics.
Outline of Azure Data Engineer Course in Hyderabad
01
The course starts with an introduction to basics of cloud computing, explaining its core concepts and real-world applications.
02
Gain expertise in Azure Data Lake Storage, Blob Storage, and Azure Files, while ensuring security, access control, and efficient data retention through lifecycle management.
03
Use Azure SQL Database and Synapse Analytics to store and manage large amounts of data.
Improve performance with PolyBase and database tuning methods.
04
Build ETL pipelines with Azure Data Factory to move and process data automatically.
Use Data Flows for advanced data changes and easy tracking.
05
Collect and process live data using Event Hubs and Stream Analytics.
Create real-time reports and dashboards with Power BI for better insights.
06
Link to Azure data sources and build interactive dashboards with Power BI.
Use DAX expressions for advanced data analysis and reporting.
07
Work with Azure Databricks and Apache Spark to process large amounts of data efficiently.
Analyze big datasets, apply machine learning, and improve Spark performance.
08
Secure data in Azure Data Engineer training using Azure Key Vault, RBAC, and encryption. Manage compliance and data governance with Azure Purview in Hyderabad.
09
Monitor and optimize performance using Azure Monitor in Hyderabad. Learn cost management, scaling, and best practices for reliable Azure Data Engineer systems.
Overview Of Azure Data Engineer Training in Hyderabad
Azure Cloud Data Engineer Overview
- Best Azure Data Engineer Training Institute in Hyderabad is a great opportunity to learn how to work with data in the cloud.
- This course covers the basics of data engineering and how Azure tools are used in real-world applications.
- You’ll start with fundamental concepts like data storage, processing, and management, then move on to hands-on experience with tools like Azure Data Factory, Azure Synapse Analytics, and Azure Databricks.
- This Azure Data Engineer Course in Hyderabad is practical, offering step-by-step exercises and hands-on projects to apply real-world Azure data engineering skills.
- Beyond the technical skills, the training also covers data security, governance, and best practices, ensuring that you can handle data efficiently and responsibly.
- Learn advanced Azure Data Engineering topics in Hyderabad, including big data processing, real-time analytics, and hands-on projects for complete practical experience.
- Whether you’re starting your career in data engineering or upskilling in Azure, this Hyderabad training offers hands-on practice, industry-relevant projects, and Azure Data Engineer interview questions to boost job readiness.
Difference Between Azure Data Engineer and Azure Developer
Azure Data Engineer
Azure Developer
Primary Role
- Design, implement, and manage data pipelines, data lakes, and big data solutions on Azure.
Primary Role
- Develop and deploy cloud applications, services, and APIs on Microsoft Azure.
Primary tools
- Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage, Azure SQL Database, Power BI
Primary tools
- Azure App Service, Azure Functions, Azure Logic Apps, Azure Cognitive Services, and Azure Active Directory.
Certifications
- DP-203: Microsoft Certified Data Engineer Associate, DP-900, PL-300
Certifications
- AZ-204: Azure Developer Associate, AZ-900 Fundamentals, AZ-400 DevOps
Key Skills
- ETL pipelines, data modeling, Azure SQL, Python, Spark, Power BI dashboards
Key Skills
- C#, .NET, Azure Functions, REST APIs, DevOps, CI/CD pipelines
Project Involvement:
- Engages in data migration projects, constructs data lakes, and develops data warehousing solutions.
Project Involvement:
- Participates in application modernization initiatives, crafts cloud-native applications, and integrates third-party services.
Azure Data Engineer Placements
- Technology Companies
- Research Institutions
- Healthcare and Biotechnology
- Entertainment and Gaming Industry
- Finance and Trading
- Autonomous Vehicles and Robotics
- E-commerce and Retail
- Government and Defense
- Research Institutions
Azure Data Engineer Training in Hyderabad
Careers options after Course completion
01
Azure Data Engineer – Design and manage data pipelines, data lakes, and cloud storage using Azure tools like Data Factory, Synapse, and Databricks.
02
Data Architect – Creates data solutions and structures to ensure smooth data flow and storage using Azure services like Azure SQL, Synapse, and Data Lake.
03
ETL Developer – Build ETL pipelines and automate data workflows for large-scale cloud applications.
04
BI Developer – Uses Azure Data technologies to create reports and dashboards, helping businesses make data-driven decisions.
05
Cloud Data Engineer – Implement and optimize cloud-based data solutions in Hyderabad’s growing IT market.
06
Machine Learning Engineer – Integrates AI and machine learning models with Azure Data Services to improve data analytics and automation.
07
Data Governance Specialist – Ensures data security, compliance, and proper management across Azure cloud platforms.
08
Big Data Engineer – Work with Spark, Databricks, and real-time analytics for enterprise-scale data processing.
09
IoT Data Engineer – Works with IoT data pipelines, managing and analyzing real-time sensor data in Azure.
10
Data Security Analyst – Implements security measures for data stored in Azure, protecting it from cyber threats and unauthorized access.
- Salaries for Azure Data Engineers can vary based on experience, job level, and location.
- Beginners can still earn competitive salaries, while experienced professionals typically receive higher pay due to their advanced skills.
- Understanding salary trends and the factors that influence earnings in this field can help you plan your career and negotiate better pay.
- This guide will give you insights into what to expect at different career stages as an Azure Data Engineer.
Azure Data Engineer Salary in Hyderabad
Azure Data Engineer Pay in Hyderabad varies by experience, job level, and skills. Entry-Level Azure Data Engineer Pay is competitive, while Mid-Level and Senior Salary rise with expertise in Databricks, Synapse, ETL, and Power BI. Certifications like DP-203 Certified Data Engineer Salary and Microsoft Certified Data Engineer Associate Pay boost earnings. Understanding Azure Data Engineer Salary 2025 / 2026, Cloud Data Engineer Salary Hyderabad, Azure Salary Range Hyderabad, and Azure Data Engineer Career Growth Salary helps plan your career and negotiate better packages.
| Role Title | Entry Level (0–2 yrs) | Mid Level (3–5 yrs) | Experienced (6+ yrs) |
|---|---|---|---|
| Azure Data Engineer Associate (DP-203) | ₹6 – 9 LPA | ₹10 – 18 LPA | ₹20 – 30+ LPA |
| Azure Cloud Data Engineer | ₹6.5 – 9.5 LPA | ₹11 – 18.5 LPA | ₹22 – 32 LPA |
| Azure Big Data Engineer (Spark & Databricks) | ₹7 – 10 LPA | ₹12 – 20 LPA | ₹23 – 33 LPA |
| Azure ETL Developer (Data Factory Focus) | ₹6 – 8.5 LPA | ₹9.5 – 15 LPA | ₹18 – 26 LPA |
| Azure Data Analyst (Synapse & Power BI) | ₹5 – 7.5 LPA | ₹8.5 – 14 LPA | ₹15 – 22 LPA |
| Azure Database Developer (DP-900) | ₹4.8 – 7.5 LPA | ₹8.5 – 13 LPA | ₹14 – 20 LPA |
| Azure BI & Analytics Specialist (DP-500) | ₹5.5 – 8.5 LPA | ₹9.5 – 15 LPA | ₹16 – 24 LPA |
| Azure DevOps Engineer (Data Focus) | ₹6 – 9 LPA | ₹10 – 17 LPA | ₹20 – 28 LPA |
Skills Developed After Completing the Azure Data Engineer Course in Hyderabad
01
Deep knowledge of data pipelines and their role in processing and transforming data using Azure.
02
Expertise in big data processing with Azure Synapse Analytics and Databricks for handling large datasets.
03
Advanced understanding of cloud storage solutions like Azure Data Lake and Blob Storage for efficient data management.
04
Strong grasp of data security measures, compliance standards, and access management in Azure environments.
05
Proficiency in optimizing and troubleshooting data workflows for better performance and cost efficiency.
06
Experience in real-time data streaming and analytics using Azure Stream Analytics and related tools.
Azure Certification in Hyderabad
DP-203 Certification Course in Hyderabad
- The Azure Data Engineer certification proves that you have the skills needed to work with data engineering on Microsoft Azure.
- The main certification for data engineers is the Microsoft Certified: Azure Data Engineer Associate.
- Azure Certification Training , you need to pass the DP-203 exam, which tests your ability to design, build, and manage data
- solutions using tools like Azure Data Factory, Synapse Analytics, Databricks, and Data Lake.
- Earning this certification can improve job opportunities by showing that you know how to create secure and scalable data solutions on Azure.
- It also helps professionals stay updated with new trends and best practices in data engineering, making it an important certification for anyone looking to grow in this field.
Azure Data Engineer Certification Cost in Hyderabad (2025)
| Certification Name | Price (USD / Approx INR) | Exam Time Limit | Passing Score |
|---|---|---|---|
| Azure Data Engineer Associate (DP-203) | $165 (~₹13,500–₹15,000) | 180 minutes | 700 / 1000 |
| Azure Data Fundamentals (DP-900) | $99 (~₹8,000–₹9,000) | 120 minutes | 700 / 1000 |
| Azure Enterprise Data Analyst Associate (DP-500) | $165 (~₹13,500–₹15,000) | 120 minutes | 700 / 1000 |
| Azure Database Administrator Associate (DP-300) | $165 (~₹13,500–₹15,000) | 120 minutes | 700 / 1000 |
| Azure AI Engineer Associate (AI-102) | $165 (~₹13,500–₹15,000) | 120 minutes | 700 / 1000 |
| Azure Solutions Architect Expert (AZ-305) | $165 (~₹13,500–₹15,000) | 120 minutes | 700 / 1000 |
| Azure Administrator Associate (AZ-104) | $165 (~₹13,500–₹15,000) | 120 minutes | 700 / 1000 |
| DevOps Engineer Expert (AZ-400) | $165 (~₹13,500–₹15,000) | 120 minutes | 700 / 1000 |
Student Testimonials for Azure Data Engineer Training in Hyderabad
Over 80% of our students get interviewed within 6–8 weeks after completing the Azure Data Engineer Training in Hyderabad.
Offers have been secured from TCS, Deloitte, Capgemini, Accenture, Tech Mahindra, Infosys, and leading Hyderabad-based product startups.
Our dedicated placement team supports every learner with resume building, mock interviews, and job referrals to ensure real career outcomes.
Jashwa
@jashwa
The hands-on labs in Azure Data Factory, Databricks, and Synapse helped me apply everything I learned. The DP-203 guidance and placement support were excellent.
Girish
@Girish
This course gave me both technical clarity and real project experience. The mock interviews and resume sessions made a big difference in cracking my first cloud role.
Nikitha
@Nikitha
The trainers explained each concept clearly with real examples. I passed my DP-203 exam on the first attempt and joined as a Data Engineer soon after.
prabhu
@prabhu
From a fresher to a job-ready engineer—this training covered ADF, Databricks, and Synapse step-by-step. Placement assistance was truly supportive.
Anusha
@Anusha
“The course provided deep insights into big data engineering on Azure. Hands-on sessions with Databricks, Azure Data Lake, and Power BI helped me build data pipelines and dashboards efficiently. I feel confident for my career as a Microsoft Certified Data Engineer Associate.”
Ram
@Ram
Interactive sessions, bilingual teaching (English + Telugu), and real-world projects helped me gain complete confidence in Azure data tools.
Azure Data Engineer Course in Hyderabad
ADE Trainers
Trainer
Mr. Dinesh
Azure Data Engineering Lead & Cloud Solutions Expert
10+ Years of Experience
About the Tutor
- Dinesh is the lead trainer for our Azure Data Engineer Course in Hyderabad, with 10+ years of experience in cloud and data engineering. He has worked on real-time projects using Azure Data Factory, Synapse Analytics, Databricks, Spark, SQL, and Python, enabling him to provide students with practical, industry-ready skills that top companies demand.
- With 10+ years of experience, they specialize in designing and optimizing data pipelines, ETL workflows, and data models using Azure Data Factory, Synapse Analytics, and Databricks.
- They possess extensive experience in AI-driven data solutions and handling large-scale data processing on Azure cloud platforms.
- He is a seasoned Azure Data Engineering expert and lead trainer, skilled at guiding students through real-world cloud data engineering, ETL, and big data projects to build successful careers.
- Focused on career mentoring, helping learners develop technical, problem-solving, and cloud skills for Hyderabad and global IT markets.
Online Azure Data Engineer Training Hyderabad
Benefits
Flexible Learning Options
Enjoy flexible learning options with weekday and weekend batches to suit your schedule.
Hands-on Learning
Gain hands-on experience with key Azure tools like Azure Data Factory, Synapse Analytics, and Databricks.
Placement Assistance
Benefit from placement assistance to help you secure a job after completing the course.
Certification Preparation
The course is designed to prepare students for the Microsoft Certified: Azure Data Engineer Associate certification exam, increasing their chances of certification success.
Real-World Problem Solving
The institute focuses on practical training with real-world projects, giving students the opportunity to gain valuable hands-on experience.
Industry-Relevant Knowledge
The training helps students stay updated with the latest tools, technologies, and industry trends. Experienced trainers with real-world knowledge make learning practical and useful, ensuring students gain skills that are in demand.
Azure Data Engineer Market Trend
01
The demand for Azure Data Engineers is increasing as more businesses move to cloud-based data solutions.
02
Azure’s growing market share in cloud services is driving the need for skilled professionals in data engineering.
03
Companies are increasingly adopting Azure Data Factory and Synapse Analytics for data integration and analytics.
04
Companies are increasingly adopting Azure Data Factory and Synapse Analytics for data integration and analytics.
05
Azure certifications are becoming highly valuable, as they demonstrate expertise in cloud data engineering.
06
The shift towards real-time data processing and analytics has boosted the demand for professionals skilled in Azure Databricks.
07
As businesses prioritize data security and compliance, Azure Data Engineers are essential for implementing secure data solutions.
08
The integration of AI and machine learning with Azure Data Tools is creating new opportunities for data engineers to innovate and optimize solutions
09
Industries like telecom, education, and manufacturing use Azure Data Engineering to process data, improve decisions, and enhance customer experiences.
Our Accomplishments
FAQs on Azure Data Engineer Training in Hyderabad
It’s a hands-on program that teaches ADF, Synapse, Databricks, SQL, and Python, with guidance on DP-203 certification and real-time projects.
Students, developers, analysts, or IT professionals interested in cloud data and DP-203 certification can join this course.
Yes, both online and classroom batches are available at our Hyderabad centers with flexible timings.
You’ll master Azure Data Factory, Synapse Analytics, Databricks, Power BI, Azure SQL, Python, and ADLS Gen2.
Yes, it starts from basics, so even beginners can understand cloud data engineering concepts easily.
Absolutely — the training includes complete DP-203 exam preparation with mock tests and mentoring.
Basic knowledge of SQL or Python is helpful but not mandatory.
Yes, you’ll build end-to-end pipelines with ADF → Databricks → Synapse → Power BI dashboards.
Yes, we offer 100 % placement support, including resume prep, mock interviews, and job referrals.
Azure Data Engineers earn between ₹6 LPA – ₹18 LPA, depending on skills and experience.
Top recruiters include TCS, Deloitte, Capgemini, Accenture, Tech Mahindra, and Microsoft.
Yes, it aligns with Microsoft’s DP-203 certification curriculum.
Yes, both are taught extensively with hands-on labs and project scenarios.
Yes, anyone with logical thinking and interest in data analytics or cloud can join.
Projects include Retail Sales ETL, IoT Streaming Analytics, and Supply-Chain Forecasting using Azure tools.
Yes, all sessions are led by Microsoft-certified trainers with 10 + years of experience.
Yes, you’ll get lifetime LMS access with recordings, notes, and updated Azure resources.
We have weekday and weekend batches; the upcoming batch starts 27 Oct 2025 @ 9:30 AM IST.
Yes, EMI and installment options are available for all students.
Yes, Power BI dashboards and real-time reporting are part of the curriculum.
It builds practical Azure project experience, interview skills, and confidence to handle enterprise data workflows.
Yes, the syllabus is fully updated for DP-203 (2025) with the latest Azure services.
Expert trainers, bilingual sessions (English + Telugu), real-time projects, and 100 % placement support make it stand out.
Yes, we conduct resume sessions and mock interviews to boost placement success.
Assessment includes project evaluations, quizzes, and DP-203 mock tests.
Yes, you can switch between online and classroom batches if required.
Simply register online or WhatsApp +91 98824 98844 to book a free demo session.
Yes, you’ll get post-training career mentoring, job alerts, and access to updated Azure materials.
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