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Azure Data Engineer Course in Hyderabad

Build a successful career in cloud data engineering with SIRI AI TECH HUB’s Azure Data Engineer Course in Hyderabad. This industry-focused training program is designed for freshers, graduates, job seekers, and IT professionals who want to master Microsoft Azure, Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, Azure Data Lake, PySpark, SQL, ETL Pipelines, and Big Data Technologies. Gain hands-on experience through real-time projects, practical labs, and expert mentorship to become an industry-ready Azure Data Engineer.

Course Duration

3 Months

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+91 9949299943

Office Address

4th floor, Outoff The Box, Mindspace Rd, P Janardhan Reddy Nagar, Gachibowli, Hyderabad, Telangana 500081

Company mail id

siritechhub@gmail.com

Azure Data Engineer Course Modules

Module 1: Introduction to Data Engineering

Understand the fundamentals of Data Engineering, including different data types, Data Engineer roles and responsibilities, data architecture, batch vs. streaming processing, OLTP vs. OLAP, workflows, and industry tools used in real-world projects.

Module 2: Database Fundamentals

Learn relational database concepts, RDBMS, primary and foreign keys, ACID properties, normalization, NoSQL databases, and when to use SQL or NoSQL in enterprise applications.

Module 3: SQL Fundamentals

Master SQL programming with data retrieval, filtering, sorting, grouping, operators, and practical query writing through hands-on exercises.

Module 4: Advanced SQL

Gain expertise in SQL joins, functions, constraints, aggregations, subqueries, stored procedures, triggers, transactions, and advanced database operations.

Module 5: Data Modeling

Learn conceptual, logical, and physical data models, along with Star Schema, Snowflake Schema, and dimensional modeling techniques used in modern data warehouses.

Module 6: ETL & ELT

Understand ETL and ELT concepts, data pipelines, pipeline architecture, and data integration techniques used in enterprise data engineering.

Module 7: Practical Hands-on Training

Apply database and SQL concepts through guided hands-on exercises and real-world scenarios.

Module 8: Python for Data Engineering

Learn Python programming fundamentals, including variables, data types, loops, functions, collections, dictionaries, regular expressions, and data manipulation.

Module 9: File Processing

Work with CSV, JSON, and XML data formats commonly used in data engineering pipelines.

Module 10: Pandas for Data Processing

Use Pandas DataFrames for filtering, joining, cleaning, and analyzing structured datasets efficiently.

Module 11: Python ETL Development

Build ETL workflows using Python for data cleaning, transformation, validation, and exporting datasets.

Module 12: REST APIs

Learn API integration, REST services, pagination, and data extraction from external systems.

Module 13: Error Handling & Logging

Implement exception handling, logging, and debugging techniques for reliable and maintainable data pipelines.

Module 14: Practical Implementation

Strengthen your Python and ETL skills with hands-on practical exercises.

Module 15: Microsoft Azure Fundamentals

Understand cloud computing, Azure architecture, Azure Resource Manager (ARM), Azure subscriptions, resource groups, Azure IAM, and Azure services used in data engineering.

Module 16: Azure Storage & Data Lake

Learn Azure Storage Accounts, Blob Storage, Azure Data Lake Storage Gen2 (ADLS Gen2), storage security, access tiers, data lake architecture, and enterprise storage solutions.

Module 17: Azure Networking

Master Azure networking concepts, including Virtual Networks (VNet), Subnets, Network Security Groups (NSG), Public & Private IPs, DNS, and Network Interfaces.

Module 18: Azure Identity & Access Management (IAM)

Configure Azure Active Directory (Entra ID), authentication, authorization, RBAC, Azure identities, multi-factor authentication (MFA), and access control.

Module 19: Azure Data Factory (ADF)

Build modern data pipelines using Azure Data Factory by working with pipelines, datasets, linked services, integration runtime, data flows, triggers, monitoring, debugging, and orchestration.

Module 20: Azure Databricks & PySpark

Learn distributed data processing using Azure Databricks and PySpark, Spark SQL, Delta Lake, Unity Catalog, Medallion Architecture, partitioning, transformations, and enterprise data processing.

Module 21: Azure Synapse Analytics

Master Azure Synapse Analytics, including SQL Pools, Spark Pools, Serverless SQL, Data Warehousing, Data Ingestion, Partitioning, ADF integration, orchestration, and dimensional modeling.

Module 22: Orchestration & Azure DevOps

Automate data engineering workflows using Apache Airflow, Azure DevOps, Git, CI/CD pipelines, workflow orchestration, deployment automation, and enterprise DevOps practices.

Module 23: End-to-End Data Engineering Project

Work on a complete real-world Azure Data Engineering project, including case studies, practice tests, mock interviews, project implementation, and interview preparation to become job-ready.

Contact Us

Ready to start your IT career? Get in touch with our team for course details, batch schedules, demo sessions, and enrollment assistance. We’re here to guide you every step of the way.

Office Address

4th floor, Outoff The Box, Mindspace Rd, P Janardhan Reddy Nagar, Gachibowli, Hyderabad, Telangana 500081

Company mail id

siritechhub@gmail.com

Call Now

+91 9949299943

Get In Touch With Us!


Azure Data Engineer Training in Hyderabad

Why Choose Azure Data Engineering?

Azure Data Engineering is one of the fastest-growing career paths in cloud computing and big data. Organizations across industries rely on Azure Data Engineers to design, build, and manage scalable data solutions that support analytics, business intelligence, and AI-driven applications.

Azure Data Engineers are responsible for building secure and efficient data pipelines, processing batch and streaming data, implementing data storage solutions, ensuring data security, optimizing performance, and transforming raw data into meaningful insights. With the increasing adoption of Microsoft Azure, skilled Azure Data Engineers are in high demand across startups, enterprises, and multinational companies.

At SIRI AI TECH HUB, our Azure Data Engineer Training in Hyderabad equips you with practical skills in Azure cloud services, ETL pipelines, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, PySpark, Data Lake, SQL, and real-time project implementation, helping you become industry-ready.

Why Learn Azure Data Engineering?

Azure Data Engineering is an ideal career choice for students, graduates, and IT professionals looking to build expertise in cloud-based data solutions. The demand for Azure-certified professionals continues to grow as organizations migrate their data platforms to the cloud.

By mastering Azure Data Engineering, you’ll gain expertise in:

  • Cloud Data Engineering
  • Data Pipeline Development
  • Azure Data Factory (ADF)
  • Azure Synapse Analytics
  • Azure Databricks
  • Azure Data Lake Storage (ADLS Gen2)
  • SQL & Data Modeling
  • ETL & ELT Processes
  • PySpark & Big Data Processing
  • Azure DevOps & CI/CD

These in-demand skills prepare you for roles such as Azure Data Engineer, Cloud Data Engineer, Data Analyst, Big Data Engineer, ETL Developer, and Data Platform Engineer.

What is Microsoft Azure?

Microsoft Azure is Microsoft’s cloud computing platform that provides a wide range of cloud services, including computing, storage, networking, databases, analytics, artificial intelligence, and security. It enables businesses to build, deploy, and manage applications through Microsoft’s global network of data centers, offering scalable, secure, and reliable cloud solutions.

Key Azure Data Engineering Concepts You’ll Learn

Azure Data Masking

Learn how Azure protects sensitive data using dynamic data masking across Azure SQL Database, Azure SQL Managed Instance, and Azure Synapse Analytics to enhance data security and compliance.

PolyBase

Understand how PolyBase enables fast data integration by querying and transferring data between Azure Synapse Analytics, Azure Blob Storage, Azure Data Lake Storage, and Hadoop without requiring third-party ETL tools.

Azure Reserved Capacity

Explore Azure Reserved Capacity and learn how organizations optimize storage costs by reserving cloud storage resources for long-term workloads.

Azure Synapse Analytics

Master Azure Synapse Analytics and understand its massively parallel processing (MPP) architecture, dedicated SQL pools, distributed query execution, and high-performance data warehousing capabilities.

Dedicated SQL Pools

Learn how Dedicated SQL Pools improve query performance using columnar storage, distributed processing, and scalable enterprise data warehouse architecture.

Azure Stream Analytics

Gain practical knowledge of Azure Stream Analytics for processing real-time streaming data with low latency using SQL-based query language and event-driven analytics.

Azure Storage Explorer

Explore Azure Storage Explorer and learn how to manage Azure Blob Storage, Azure Data Lake Storage Gen2, Azure Files, Queues, Tables, and Cosmos DB efficiently across multiple platforms.

At SIRI AI TECH HUB, our Azure Data Engineer Course in Hyderabad combines industry-focused training, hands-on labs, live projects, certification guidance, and placement assistance to help you build a successful career in Cloud Data Engineering.