Azure Data Engineer Training In Hyderabad
Master Azure Data Engineering and build in-demand skills to design, manage, and optimize data solutions on the cloud. Our comprehensive training covers Azure Data Factory, Azure Synapse Analytics, Databricks, Data Lake, SQL Database, and Power BI integration. Learn data ingestion, transformation, storage, and security best practices with real-time projects. Gain expertise in ETL pipelines, big data processing, and analytics to prepare for Microsoft DP-203 certification. Whether you’re a beginner or an experienced professional, this course equips you to excel in data-driven roles and boost your career in the cloud era.
Key Highlights
- 24/7 Support
- Job Assistance
- Live interactive Sessions
- Project Based Learning
- Mentor Support
- Certifications
Azure Data Engineer Training In Hyderabad Course Details
The Azure Data Engineer Training In Hyderabad is designed to provide you with in-demand skills to design, implement, and manage cloud-based data solutions. The course begins with an introduction to Azure fundamentals, subscription setup, and resource management. You will understand the role and responsibilities of a Data Engineer and gain insight into how Azure’s cloud ecosystem supports data storage, processing, and analytics. This foundation ensures you are well-prepared to work with enterprise-scale data systems.
The program covers a variety of data storage solutions, including Azure Data Lake Storage Gen2, Blob Storage, Azure SQL Database, and Cosmos DB. You will learn how to build efficient data ingestion pipelines using Azure Data Factory (ADF), covering linked services, datasets, triggers, and automation. The course emphasizes Extract, Transform, Load (ETL) best practices for moving and integrating data from multiple sources into Azure.
A major focus is data processing and transformation using Azure Databricks and Apache Spark, where you’ll perform advanced data cleansing, transformation, and enrichment. You will work with Azure Synapse Analytics to build powerful data warehouses, perform complex queries using both dedicated SQL pools and serverless models, and integrate analytics into Power BI dashboards. Additionally, you will gain expertise in real-time analytics using Azure Event Hubs and Stream Analytics for instant insights from streaming data.The course also covers data security and compliance with Azure Purview, encryption methods, and Role-Based Access Control (RBAC) to ensure data protection. You will learn performance tuning in ADF and Synapse, cost optimization strategies, and monitoring with Azure Monitor and Log Analytics. To help you advance professionally, the program prepares you for the Microsoft DP-203 certification and includes resume building, interview preparation, and hands-on industry projects to boost your career as an Azure Data Engineer.
Azure Data Engineer Curriculum
Introduction to Microsoft Azure and cloud concepts
Understanding the Azure global infrastructure & regions
Navigating Azure Portal, CLI, and PowerShell
Azure subscription management & cost estimation
Overview of data engineering roles and responsibilities
Key Azure services for data storage, processing, and analytics
Azure Data Lake Storage Gen2 – structure, security, and performance
Azure Blob Storage – types, lifecycle management, and replication
Azure SQL Database – design, indexing, and querying
Azure Cosmos DB – NoSQL databases, API options, and scalability
Choosing the right storage for structured, semi-structured, and unstructured data
Implementing security, encryption, and backup strategies
Introduction to Azure Data Factory (ADF) architecture and components
Creating linked services and datasets for various sources
Building and scheduling ETL pipelines
Using copy activity and data flows for transformation
Parameterization and reusable templates in ADF
Integrating ADF with Git for version control
Introduction to Azure Databricks and Apache Spark
Working with notebooks and Spark SQL for data transformation
Data cleansing, enrichment, and aggregation techniques
Processing big data workloads efficiently
Integration of Databricks with Data Lake and Synapse
Implementing Delta Lake for data reliability and performance
Introduction to Azure Synapse Analytics – dedicated vs. serverless SQL pools
Designing data models for analytics
Loading and querying large datasets
Partitioning, indexing, and optimizing queries
Building analytical reports with Power BI integration
Creating pipelines between Synapse, ADF, and Data Lake
Overview of real-time data and streaming concepts
Azure Event Hubs – event ingestion and scaling
Azure Stream Analytics – writing streaming queries
Connecting real-time streams to Power BI dashboards
Integrating IoT data sources into analytics pipelines
Handling latency, throughput, and fault tolerance in streaming
Implementing Role-Based Access Control (RBAC)
Data encryption at rest and in transit
Azure Purview for metadata management and governance
Securing pipelines and dataflows in ADF and Databricks
Network security with Virtual Networks and firewalls
Compliance standards (GDPR, HIPAA) in Azure environments
Performance tuning in ADF, Databricks, and Synapse
Query optimization techniques in SQL pools
Cost management strategies and budgets in Azure
Monitoring pipelines and services with Azure Monitor
Using Log Analytics for detailed performance insights
Implementing alerts and automated issue resolution
Microsoft DP-203 certification exam overview and syllabus
Practice questions and mock exams
Resume writing tips for Azure Data Engineer roles
Preparing for technical interviews and case studies
Building a professional portfolio with real-world projects
Career guidance and job market insights
Benefits of Azure Data Engineer Training In Hyderabad
High Career Demand – Azure Data Engineers are in high demand across industries due to the growth of cloud-based data solutions.
Industry-Relevant Skills – Gain expertise in Azure Data Factory, Databricks, Synapse Analytics, and other tools used by top companies.
Certification Advantage – Prepares you for the Microsoft DP-203 certification, boosting your professional credibility.
Hands-On Experience – Work on real-time projects, ETL pipelines, and analytics solutions to gain practical skills.
Better Salary Prospects – Certified Azure Data Engineers earn competitive salaries globally.
Versatile Career Options – Opens doors to roles like Data Engineer, Big Data Engineer, Cloud Data Architect, and Analytics Specialist.
Future-Proof Career – Stay ahead in the evolving data and AI-driven technology landscape.
Job Roles After Azure Data Engineer Training In Hyderabad
1. Azure Data Engineer
Your main responsibility is to design, build, and maintain scalable data solutions on Azure. You’ll work with Azure Data Factory, Data Lake, Databricks, and Synapse Analytics to move, transform, and store data for analytics and reporting.
2. Big Data Engineer
Focuses on processing massive volumes of data using tools like Azure Databricks and Apache Spark. You’ll build big data pipelines, process unstructured data, and prepare it for business insights or AI applications.
3. ETL Developer
Specializes in Extract, Transform, Load processes. You’ll develop and manage ADF pipelines, schedule workflows, clean and transform raw data, and load it into storage or analytical systems.
4. Cloud Data Engineer
A broader role where you work on end-to-end cloud-based data architectures. This includes designing secure storage, building pipelines, integrating systems, and optimizing performance in the Azure cloud environment.
5. Data Integration Specialist
Responsible for connecting different data sources (on-premises, cloud, APIs) into a unified system. You’ll ensure smooth data flow between applications and analytics platforms.
6. Business Intelligence (BI) Developer
Uses Power BI, Azure Synapse, and SQL to create interactive dashboards, reports, and analytics solutions for decision-makers in the organization.
7. Database Administrator (Azure)
Manages databases like Azure SQL Database and Cosmos DB, focusing on performance tuning, backups, security, and high availability.
8. Data Architect
Designs entire data ecosystems—storage systems, pipelines, analytics layers—ensuring scalability, performance, and compliance with security standards.
9. Analytics Engineer
Bridges the gap between data engineering and data analysis by preparing clean, well-modeled datasets that analysts and data scientists can use effectively.
10. Real-Time Data Engineer
Specializes in streaming data using Azure Event Hubs, IoT Hub, and Stream Analytics to create real-time dashboards and alerts for business operations.
Who is Eligible for the Azure Data Engineer Course
IT Professionals & Developers – Those working in software development, databases, or cloud computing who want to transition into data engineering.
Data Analysts & BI Developers – Professionals looking to upgrade from data visualization to end-to-end data pipeline and cloud architecture skills.
Database Administrators (DBAs) – Those who want to expand their expertise into Azure cloud-based databases and big data solutions.
ETL & Data Warehouse Professionals – People already working with ETL tools or data warehouses who want to learn Azure Data Factory, Synapse, and Databricks.
Fresh Graduates in IT or Computer Science – Students with basic knowledge of databases, SQL, or programming who want to start a career in cloud data engineering.
Cloud Enthusiasts & Career Switchers – Anyone aiming to enter the booming cloud data industry with Microsoft Azure skills.
Prerequisites:
Basic understanding of databases (SQL/NoSQL)
Familiarity with data concepts and programming basics
(Optional but helpful) Knowledge of Python or any scripting language
Frequently Asked Questions (FAQ) –Azure Data Engineer Training In Hyderabad
Azure Data Engineering involves designing, building, and managing data pipelines and storage systems on Microsoft Azure to enable analytics and business insights.
No prior Azure experience is required. However, basic knowledge of databases, SQL, and programming concepts will be helpful.
You’ll work with Azure Data Factory, Azure Data Lake, Azure Databricks, Synapse Analytics, Event Hubs, Stream Analytics, Power BI, and Cosmos DB.
Yes. The course starts with fundamentals and gradually covers advanced topics with hands-on projects.
Yes. You’ll receive a course completion certificate and be prepared for the Microsoft DP-203 certification exam.
Yes. You will work on industry-based projects involving ETL pipelines, data warehousing, and real-time analytics.
Roles include Azure Data Engineer, Big Data Engineer, ETL Developer, BI Developer, Cloud Data Engineer, and Data Architect.
Yes. We provide resume building, interview preparation, and job referrals to help you secure a role in the industry.