Azure Data Engineer Online Training

5/5

Infibee Technologies offers India’s No.1 Azure Data Engineer Online Training with global certification support and 100% placement guidance.

KickStart your career in Azure Data Engineer Online Course with guided 12+ years of industry-experienced experts, affordable Azure Data Engineer fees, mock projects, resume preparation, interview preparation, placement training. Learners also receive lifetime access to recorded sessions of live classes for flexible and continuous learning.

Join our Online Azure Data Engineer Training and ignite your Azure Data Engineer career future with high-paying jobs in top companies.

Live Online :

25 hrs of E-Learning Videos
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Azure Data Engineer Online Course Overview

Infibee’s offering Azure Data Engineer Online Training to assist students in developing their skills in using Microsoft Azure with the help of data engineering professionals. The main subject of this Azure Data Engineer Online Course is the construction, management, and optimization of secure data pipelines, large-scale data processing systems, and analytics solutions for enterprise environments. Due to the fact that data is the main reason for digital transformation, the demand for Azure Data Engineers has reached the highest level in every industry.

This Azure Data Engineer Certification Online Training has been designed according to the actual requirements of the industry and the standards set by Microsoft for certification. The curriculum covers topics such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure SQL Database, and Azure Stream Analytics, security issues regarding data, monitoring, and improvement of performance. Students will acquire knowledge and skills through practice by creating complete data pipelines, applying ETL/ELT processes, and connecting big data and real-time analytics solutions on Azure.

Category Details
Azure Data Engineer Topics Covered Data ingestion, ETL pipelines, Azure Data Factory, Synapse Analytics, Data Lake Gen2, Spark, SQL, streaming data
Applications of Azure Data Engineering Big data analytics, business intelligence, real-time dashboards, AI/ML data preparation, cloud migration
Tools Used Azure Data Factory, Azure Synapse, Azure Databricks, Azure SQL, Power BI, Azure Monitor

Why Choose Infibee Technologies for an Azure Data Engineer Course?

  • India’s trusted Azure Data Engineer Online Training Institute

  • 12+ years of industry-expert trainers

  • Real-time Azure projects and case studies

  • Azure Data Engineer Certification Online guidance

  • 100% placement assistance with resume & interview preparation

  • Affordable Azure Data Engineer course fees

  • Lifetime access to recorded sessions

Best Azure Data Engineer Institute Online – Get Certified with Infibee Technologies

Infibee Technologies has earned the reputation of being the best Azure Data Engineer Online Training Institute in India, providing the students with the industry-oriented training that leads to a successful placement and strong job market. The trainers are Azure-certified and have the skills necessary for managing large enterprises’ projects effectively. The course is designed for both fresh graduates and professionals to help them easily and confidently switch to cloud data roles.

We have planned everything needed for your success in landing your dream job, including personalized placement assistance, mock interviews, career mentoring, and partnership with various companies for recruitment. Many of our previous students are now successfully working at the leading multinational companies such as TCS, Infosys, Wipro, Accenture, Capgemini, HCL, Cognizant, and IBM, which is proof that we take our commitment towards career development seriously.

 Certification Provided

Infibee Technologies offers the comprehensive online Azure Data Engineer Certification support, So, the students enrolling in the course will be completely prepared for the Microsoft certification examinations via the well-structured curriculum, practice tests, and expert guidance. Certification is a means of worldwide recognition that you have the skills of an Azure data engineer and it also raises the trustworthiness of your career. A certified person can look forward to receiving a higher salary, international jobs, and quick promotion. Our training enables the student to pass the certification exam with no fear and also do excellently later in the job.

Modes of Azure Data Engineer Training at Infibee Technologies

  • Online Instructor-Led Training

  • Self-Paced Online Training

  • Corporate Online Training

  • Weekend & Fast-Track Batches

Global Certifications for Azure Data Engineer Training (Cost in INR)

S.No Certification Code Cost (INR – Approx.) Certification Expiry
1 DP-203: Azure Data Engineer Associate ₹13,800 Valid for 1 Year
2 AZ-900: Azure Fundamentals ₹7,500 Lifetime
3 DP-900: Azure Data Fundamentals ₹7,500 Lifetime

Benefits of Learning Azure Data Engineer Online Training

  • High-demand global career

  • Strong salary growth

  • Cloud & big data expertise

  • Microsoft Azure certification advantage

  • Real-world project exposure

  • Career transition opportunities

What You’ll Learn

  • Design and implement Azure data solutions

  • Build secure data pipelines

  • Process batch and streaming data

  • Optimize data storage and performance

  • Implement monitoring and security

Who Can Join?

  • Fresh graduates

  • Software engineers

  • Data analysts

  • BI professionals

  • Cloud professionals

  • Working IT professionals

Career Opportunities in Azure Data Engineer Online Course

Experience Level Role Salary (INR LPA)
Freshers (0–3 yrs) Junior Azure Data Engineer 4–6 LPA
Data Engineer Trainee 3.5–5 LPA
Mid-Level (4–8 yrs) Azure Data Engineer 7–12 LPA
Senior Data Engineer 10–15 LPA
Senior (9+ yrs) Lead Azure Data Engineer 15–22 LPA
Data Engineering Architect 20–30 LPA
Specialized Roles Azure Big Data Engineer 12–18 LPA
Azure Analytics Engineer 10–16 LPA

Who’s Hiring Azure Data Engineer Professionals?

  • Microsoft

  • TCS

  • Infosys

  • Accenture

  • Cognizant

  • Wipro

  • Amazon

Can I Study an Azure Data Engineer Course in Other Locations?

Yes! Infibee Technologies offers Azure Data Engineer Training across major cities through online mode including:

With expert mentors, practical training, and placement support, Infibee remains the No.1 choice for Azure Data Engineer aspirants across India.

How to Register for Azure Data Engineer Training at Infibee Technologies?

Step 1: Register for a Free Demo

Visit our website, submit the inquiry form, and attend a free demo session.

Step 2: Select Your Training Mode

Choose online, classroom, or corporate training and confirm your batch.

Step 3: Start Your Azure Data Engineer Journey

Begin learning with experts, work on real-time projects, and prepare for Azure Data Engineer Certification Online.

Enroll Today: Unlock Your Azure Data Engineer Online Training Potential!

Join Infibee Technologies, the trusted Azure Data Engineer Online Training Institute, and transform your career with globally recognized certification, hands-on expertise, and placement support. Enroll now and step into high-paying Azure Data Engineer roles.

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Why People Choose Infibee ?

Upcoming Azure Data Engineer Online Batches

29-12-2025
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
31-12-2025
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
26-12-2025
Sat-SunWeekend Batch
09:00 AM & 01:00 PM Batches(Class 2Hr - 4Hrs) / Per Session
Can't find a batch? Pick your own schedule

Azure Data Engineer Online Course Syllabus

Join our Azure Data Engineer Online Training! Our syllabus covers essential data engineering methodologies, Azure tools, and advanced techniques. Our practical projects are led by industry experts, helping you analyze data processes effectively in this growing tech hub. Perfect for freshers and experienced professionals aiming to enhance their expertise in Azure data engineering.

DATABASE INTRODUCTION

  • Databases Introduction & Purpose
  • Database Types : OLTP, DWH, OLAP
  • Microsoft SQL Server Advantages, Use
  • SQL Server Components and Usage
  • Microsoft SQL Server – Career Options
  • Developer, DBA, Data Engineer
  • Data Analyst, Data Scientist Careers
  • SQL : Purpose, Real-time Usage Options
  • SQL Versus Microsoft T-SQL [MSSQL]
  • Course Plan, Real-time Project, Resume
  • 24 x 7 Online Lab for Remote DB Access
  • Versions and Editions of SQL Server
  • SQL Server Pre-requisites : S/W, H/W
  • System Configuration Checker Tool
  • SQL Server & SSMS Installation Plan
  • SQL Server Pre-requisites : S/W, H/W
  • SQL Server 2022 & 2019 Installation
  • Database Engine Feature, OLTP
  • Instances : Types and Properties
  • Default Instance, Named Instances
  • Service and Service Account Use
  • Authentication Modes and Logins
  • Windows Logins and SQL Logins
  • SQL Server Management Studio
  • Server Connections with SSMS Tool
  • Local and Remote Connections
  • System Databases: Master and Model
  • MSDB, TempDB, Resource Databases
  • Creating Databases: Files [MDF, LDF]
  • Creating Tables in User Interface
  • Data Insertion & Report in User Interface
  • SQL : Purpose and Real-time Usage
  • SQL Versus T-SQL : Basic Differences
  • DDL, DML, SELECT, DCL and TCL
  • Creating SSMS Sessions : SPID
  • Create, Connect Databases using SQL
  • Creating Tables with INT, CHAR
  • Data Storage, Inserts – Basic Level
  • Table Data Verifications with Select
  • SELECT Statement for Table Retrieval
  • Identify Databases and Tables
  • Identify Sessions and Session ID
  • Functions with SQL Server, TSQL
  • Scalar, Inline, Table Functions
  • Variables: Declare, Real-time Use
  • Creating, Executing Functions
  • Functions for Computations
  • Functions for Parameterized Joins
  • Procedures: Usage in Real-time
  • Using Parameters in SQL Server
  • Parameterized Joins in TSQL
  • Compilation with Stored Procedures
  • sp_help, sp_helptext, sp_helpindex
  • sp_helpdb, sp_rename, sp_recompile
  • System Views For Metadata Audits
  • DBID, DBName, ObjectID, ObjectName
  • Triggers – Purpose, Real-world Usage
  • FOR/AFTER Triggers – Real time Use
  • INSTEAD OF Triggers – Real time Use
  • INSERTED, DELETED Memory Tables
  • Using Triggers for Data Replication
  • Enable Triggers and Disable Triggers
  • Database Level, Server Level Triggers
  • Transactions : Types, ACID Properties
  • Transaction Types and AutoCommit
  • EXPLICIT & IMPLICIT Transactions
  • COMMIT and ROLLBACK Statements
  • Batch Concept and Go Statement
  • Open Transactions in Real-time
  • Using Conditional Commits, Rollbacks
  • Cloud Introduction and Azure Basics
  • Azure Implementation: IaaS, PaaS, SaaS
  • Azure Data Engineer: Job Roles
  • Azure Storage Components
  • Azure ETL & Streaming Components
  • Need for Azure Data Factory (ADF)
  • Need for Azure Synapse Analytics
  • Azure Resources and Resource Types
  • Azure Account, Subscription (Free)
  • Azure SQL Server [Logical Server]
  • Firewall Rules and Azure Services
  • Azure SQL Database Deployment
  • Azure SQL Pool Deployment
  • Compute: DTU Versus DWU
  • Test Connections from SSMS
  • Azure Resources: Storage Components
  • Storage Resources and Properties
  • Resource Groups & Subscriptions
  • Azure Storage : Files, Tables and ETL
  • Azure Storage Account & Use
  • Data Lake Storage Account (ADLS)
  • Advanced Options: HNS Property
  • Resource Location, Resource Group
  • Azure Portal: Deployment Verifications
  • Azure Portal: Deployment Verification
  • Storage Account : Basic Properties
  • Overview Page: Status, HNS State
  • Azure Storage : Access Options
  • Azure Storage Explorer Tool
  • Explorer Tool : Configuration
  • BLOB: Binary Large Objects
  • Storage Browser and Service Pages
  • Storage Browser: Container Creation
  • Storage Browser: Folder, File Uploads
  • Service Page: Container Creation
  • Service Page: Folder, File Uploads
  • Container, Folder, File Properties
  • Limitations with Storage Portal
  • Azure Data Explorer Tool : Usage
  • Contrainer: Creation, Properties
  • File Uploads, Edits and Access URLs
  • Azure Storage Explorer Tool Usage
  • Azure Account Options in Explorer
  • Directory Creation, File Operations
  • Limitations with Explorer Tool
  • Azure Tables – SchemaLess Design
  • Azure Tables: Creation, Data Inserts
  • Tables, Entities, Properties Concepts
  • Structured, Relational Data Storage
  • Azure Tables: GUI, Data Types
  • Azure Tables: Big Data Imports
  • Data Edits, Queries, Delete Operations
  • Odata Options (REST API), End Points
  • Azure Storage: Replications, DR Options
  • LRS: Locally Redundant Storage
  • GRS: Globally Redundant Storage
  • ZRS: Zone Redundant Storage
  • Replication Options and Advantages
  • Replication Verification, Modifications
  • Storage Endpoints, Failover Partner
  • Power BI Cloud Management
  • Power BI Admin : Alerts
  • Workspace Management, Users
  • Security: Report, Dataset Levels
  • Security: Dataset, App Levels
  • Security: Workspace Options
  • PBI Performance Inspector
  • Power BI & Artificial Intelligence
  • Power BI & CoPilot Add-Ins
  • AI Visuals & Big Data Analytics
  • Smart Narrative and Q & A
  • Infographics, Icons and Labels
  • Key Influencer Visual in Power BI
  • Metrics Visual, Performance
  • Paginated Reports Visual
Need customized curriculum?
Build Resume & Get PlacedPlacement Support With Resume Preparation & Interview Guidance

Hands On Azure Data Engineer Projects

Enroll in our Azure Data Engineer Online Classes, where our course focuses on providing high-quality training with a strong foundation in core concepts and a practical approach. Through exposure to current industry use cases and scenarios, participants will enhance their skills and gain the ability to execute real-time data engineering projects using best practices.

Data Migration to Azure

Move data from on-premises databases to Azure SQL Database. Ensure data integrity and minimize downtime. Use Azure Data Factory for ETL processes.

Azure Data Lake Implementation

Set up Azure Data Lake Storage for large-scale data. Organize data for analysis and reporting. Implement security and access controls.

Real-Time Data Processing

Use Azure Stream Analytics for real-time data. Process and analyze streaming data from IoT devices. Store processed data in Azure SQL Database.

For Corporates

Educate your workforce with new skills to improve their performance and productivity.

Corporate Training
"Leading Companies We've Served"
Our Instructor
Name
Mr. Vignesh
Experience
10+ Years
Specialized in
Azure Data Engineer Associate, Azure Data Fundamentals, and Big Data technologies
More Details
Vignesh is one of Infibee's top-certified trainers in Azure Data Engineering, boasting over 10 years of hands-on experience collaborating with industry professionals. He holds certifications in Azure Data Engineer Associate, Azure Data Fundamentals, and Big Data technologies, ensuring expertise in advanced data engineering and analytics.

Azure Data Engineer Course Training Objectives

Our Best Azure Data Engineer Online Training aims to empower participants with comprehensive skills and practical knowledge in data engineering. Objectives include mastering core concepts of data integration, transformation, and storage, applying skills through real-world data engineering projects, and preparing for industry challenges. This enhances career development and contributes to industry advancement.

The average salary for an Azure Data Engineer in India ranges from ₹9,00,000 to ₹18,00,000 per annum, depending on experience, job role, and location.

The Azure Data Engineer certification validates your ability to design and implement data solutions using Azure technologies. It covers skills in data storage, data processing, data integration, and data security within the Azure environment.

The Azure Data Engineer course covers topics such as Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, data lakes, data warehousing, and data integration. It provides practical knowledge in designing and managing data solutions on Azure.

While there are no strict prerequisites, it is beneficial to have a basic understanding of data engineering concepts, SQL, and cloud computing. Familiarity with Azure services and experience with data management are also helpful.

Obtaining an Azure Data Engineer certification enhances your career by providing a recognized credential that demonstrates your expertise in managing and engineering data solutions on Azure. It can lead to advanced job opportunities, higher salaries, and increased professional credibility.

With an Azure Data Engineer certification, you can pursue various job roles such as Data Engineer, Data Analyst, Big Data Engineer, Cloud Data Engineer, and Business Intelligence Developer. This certification prepares you for roles involving data management, data integration, and advanced analytics in the Azure ecosystem.

Job Assistance Program

Our Job Assistance Programme offers you special guidance through the course curriculum and helps in your interview preparation.

Specialised Curriculum
Get on-field knowledge and skills from our expert instructors.
Assessment
Upgrade your on-field skills with our assessments and track your progress in real time.
Hands-on Project
Our hands-on project help you gain experience in real-time working.
Certification Guidance
A global certificate always helps you stand out from the crowd.
Portfolio Building
Experts guide you to maximise your profile with current industry trends that employers expect.
Placment Cell
We promote your abilities and showcase your portfolio to employers.

Azure Data Engineer Career Opportunity

Azure Data Engineer is the most common programming language, and it works on all computers and mobile devices without needing to be upgraded. It is one of the highest-paying careers in the software development industry, and those with the Azure Data Engineer certification can earn an average of 7 LPA per year.

Annual Pay Scale
Employers
Annual Salary
Hiring Companies

Placement Guidance & Interview Preparation

Infibee’s placement guidance navigates you to your desired role in top organisations, ensuring you stand out and excel in every opportunity.

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I joined Infibee in order to take a Data Science Course. Being from a non-IT background, I believe that being an IT Professional will be difficult for me. But now I believe that joining Infibee is the best decision I've ever made. My overall experience has been excellent. The teaching and non-teaching staff are both excellent. I will never forget the experience I had with Infibee. Thank you for your help and support, Infibee.
Muthu krishnan
I graduated without an IT background, but Infibee has helped me advance my career as a data scientist. Here, mentors are very helpful. With the right guidance and dedication, you can achieve your dreams. Self-study is also crucial if you want to stand out from the crowd and seize your opportunities.Companies frequently visit Infibee for placements and take some incredible talent with them.
Pranali
I enrolled in Infibee's PG Data Science course. The training experience was excellent, with 80% practical training and 20% theory, which was extremely beneficial. I learned a great deal. My placement process began after I completed my course, and I am now working as an RPA and Data Science Intern at rsutra. Nisha Mam was extremely helpful during the placement process.
Yuvaraj
The courses on Infibee are excellent. It has great value. I was non IT person and joined for Data Science course it was really helpful and interesting learning with Infibee. Teachers are also incredible they did an excellent job of ensuring that we understood each concept. Excellent job setting up the mock test and interview. I enjoyed finding more skill out of me from Infibee.I appreciate Infibee's assistance in advancing my career.
Lavanya
I completed Full Stack Development Course at infibee. Infibee is the best training institute. My trainer taught us the best concepts out there. His teaching skills are great. They are having lots of knowledge. The way of teaching is also good. I am satisfied with the course. Glad to have found this institute.
Madhaiyan Madhan

Azure Data Engineer Training FAQ's

Infibee Azure Data Engineer Online Training offers wide range of services that suits for both fresher and experienced persons via both offline and online at your suitable time slots.

You need not worry about having missed a class. Our dedicated course coordinator will help them with anything and everything related to administration. The coordinator will arrange a session for the student with trainers in place of the missed one.

Yes, of course. You can contact our team at Infibee Technologies, and we will schedule a free demo or a conference call with our mentor for you.

We provide classroom, online, and self-based study material and recorded sessions for students based on their individual preferences.

Yes, all our trainers are industry professionals with extensive experience in their respective domains. They bring hands-on practical and real-world knowledge to the training sessions.

Yes, participants typically receive access to course materials, including recorded sessions, assignments, and additional resources, even after the training concludes.

We provide placement assistance to students, including resume building, interview preparation, and job placement support for a wide range of software courses.

Yes, we offer customisation of the syllabus for both individual candidates and corporate also.

Yes, we offer corporate training solutions. Companies can contact us for customised programmes tailored to their team’s needs.

Participants need a stable internet connection and a device (computer, laptop, or tablet) with the necessary software installed. Detailed technical requirements are provided upon enrollment.

In most cases, such requests can be accommodated. Participants can reach out to our support team to discuss their preferences and explore available options.

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