Best Azure Data Engineer Course in Hyderabad

If you are looking for the best Azure Data Engineer Course in Hyderabad, join Web Trainings Academy and equip yourself with skills that will make students become certified Azure Data Engineer. Our course is designed as per industry orientation, which will cover all data services in Azure, data pipelines, SQL, and big data processing. This will make the student ready to face real-time data engineering challenges.

Get expertise in data management and transformation using Microsoft Azure on our Azure Data Engineer training. The course offers 100% placement assistance, expert-led training, and a certification orientation approach that makes it one of the best Azure data engineering Training in Hyderabad.

17 +

Years in Industry

1 L +

Students Trained

4.8+

Rated by Students

80%

Success Rate

Why Learn Azure Data Engineer Course?

The requirements for Azure Data Engineers are increasingly rising these days due to the dependency of every organization on cloud-based solutions for data. In that process, by taking the Azure Data Engineer course, a person:

High Demand & Career Growth

The call for careers is booming rapidly as businesses increasingly call upon digital transformation and cloudy solutions.

Hands-on Experience

Gain practical knowledge by working with real-world tools like Azure Data Factory, Synapse Analytics, and Databricks to build scalable data solutions.

Globally recognized certifications

Obtain the Microsoft Certified: Azure Data Engineer Associate to boost job opportunities and gain recognition in the industry.

Top Company Opportunities

Work with leading global companies like Microsoft, Amazon, and Google in roles such as Azure Data Engineer, Cloud Data Engineer, and Big Data Engineer.

High-Paying Career

Get a well-paying job in cloud data engineering, one of the highly in-demand and highest paying fields in the sector of technology.

Stay Ahead with Latest Tech

Keep abreast of the latest advancements in cloud computing and data engineering to stay ahead of the curve in this ever-evolving tech industry.

Course Curriculum For Azure Data Engineering Course in Hyderabad

Azure Databricks

  • Introduction to Azure Databricks
  • Creating Azure Databricks Service
  • Databricks User interface Overview
  • Azure Databricks Architecture Overview
  • Azure Databricks Cluster Types
  • Azure Databricks Cluster Configuration
  • Creating Azure Databricks Cluster
  • Azure Databricks Cluster Pool
  • Azure Databricks Cluster Policy
  • Notebook Introduction
  • Magic Commands
  • Databricks Utilities
  • Overview
  • Creating Azure Data Lake Storage Gen2
  • Azure Storage Explorer Overview
  • Access Azure Data Lake using Access Keys
  • Access Azure Data Lake using SAS Token
  • Access Azure Data Lake using Service Principal
  • Cluster Scoped Authentication
  • Access Azure Data Lake using Credential Passthrough
  • Introduction to On page
  • On page Analysis Methodology
  • Fundamental On-page Factors
  • Domain name in SEO
  • Importance of HTTPS
  • URL Optimization
  • Title Tag Optimization
  • Meta Tags Optimization
  • Content Optimization
  • Heading optimization
  • Internal Links
  • Image Optimization
  • Social Signals & Footer
  • Website Speed Optimization
  • Speed Analysis Tools
  • Sitemaps Generation
  • Robots.txt File
  • URL Redirecting Techniques
  • Canonical Links
  • Rich Snippets
  • New Updates in On page.
Google Search Console
  • What is Search Console
  • Features of Search Console
  • Site Verification Process
  • Location Targetting
  • Search Performance Tool
  • Link Analysis Tool
  • Manual Actions
  • Sitemaps Tool
  • Fetch as Google Tool
  • Crawl Errors Analysis
  • The Latest updates in Search Console
  • Introduction to Off page (Link Building)
  • Link Building Guidelines
  • Types of Backlinks • Link Analysis Tools
  • Directory Submissions
  • Local Business Submission
  • Classified Posting
  • Q & A Backlinks
  • Blogging & Blog Comments
  • Guest Blogging
  • Press Release
  • Document Sharing
  • Other Advanced Strategies
  • What is Local SEO?
  • Importance of Local SEO
  • Submission to Google My Business
  • Optimizing the GMB Profile
  • Local SEO Ranking Signals
  • Local SEO Negative Signals
  • Citations and Local Submissions
  • Google My Business Analytics

Algorithm Recovery Process

  • Types of Penalties
  • Manual Actions
  • Apply for Reconsideration
  • Algorithm Update Recovery Method
  • Compare the Before/After date
  •  Panda recovery process
  • Penguin recovery process
  • Mobile friendly update
  • How to use DisAvow Tool

Reports Analysis

  • Google Analytics Reports
  • Search Console Reports
  • Website Position Analysis
  • Website Monthly Reports
  • Backlinks Reports
  • Paid Tools for monitoring
  • Introduction to Paid Advertising
  • Google Ads Account setup
  • Interface Tour and Billing Settings
  • Account Structure
  • PPC Campaign Settings
  • Ad Group setup
  •  Keyword Match Types
  •  Keyword Research Tools
  •  Ad Formats & Guidelines
  •  Ad Extensions
  •  Understanding Ad Auction
  •  What is Quality Score
  •  Factors to improve Quality Score
  •  Actual CPC Calculation
  •  Types of CPC’s
  •  Bidding strategies
  •  What is Conversion?
  •  Implementing conversion tracking
  •  Calculating ROI
  •  Segments and Filters
  •  Search Terms and Ad Auctions
  •  Customization Tools
  •  Generating Reports

Display Ads

  • What is Display Advertising
  •  How Display Ads Works
  •  Creating a Display Campaign
  •  Bidding Strategies
  •  Targeting Option in Display Network
  •  Exclusion options
  •  Ad Formats and Sizes
  •  Conversion Tracking
  •  Display campaign reporting

Remarketing Campaign

  • What is Remarketing?
  • Benefits of Remarketing Strategy
  • Types of Remarketing Audience
  • Building Remarketing List
  • Building Custom Audience List
  • Creating Remarketing Campaign
  • Remarketing Ads Design
  • Dynamic Ads
  • Remarketing Lists for Search Ads (RLSA)

What is Shopping Campaign

  • Google Merchant Center account
  •  Creating Business Store
  •  Types of Product Feeds
  •  Product Feed Properties
  •  Dynamic Product Feeds
  •  Creating a Shopping Campaign
  •  Defining Product Groups
  •  Monitoring Campaign
  •  Reports of Shopping Campaign
  • State of Mobile Usage
  • Benefits of Mobile Marketing
  •  Mobile Marketing Goals
  •  App Creation Strategy
  •  App Optimization Service (AOS)
  •  Universal App Campaign
  •  Call Only Campaign
  •  Conversion Tracking
  •  Reporting in Mobile Ads
  • Importance of Video Marketing
  •  Types of YouTube Ads
  •  Location Targeting
  •  Bidding Strategies
  •  Automatic Targeting
  •  Adgroups Setup
  •  Targeting Options in Video Ads
  •  Types of Ad Formats
  •  Ads Cost Options
  •  Measuring the Results of Campaign
  •  Conversion Tracking

Advanced Features

  • Google Account Access
  • Access Levels
  • My Client Centre (MCC)
  • Google Ads Editor
  • Export / Import Details
  • Shared Library Features
  • Introduction to Bing Ads
  • Creating Bing Ads Account
  • Bing Ads Campaign
  • Exporting the Campaigns
  • Generating Reports
  • Bing Ads Certification

Introduction to SMM

  • What is Social Media?
  •  Benefits of using SMM
  •  Social Media Statistics
  •  Goals of Social Media Marketing

Facebook Marketing

  • Types of Facebook Account
  •  Personal Account Setup
  •  Facebook business page setup
  •  Types of Business pages
  •  Cover Photo/Video Design
  •  Page Settings & Options
  •  How to Increase Facebook Likes
  •  Facebook Content Strategy
  •  Types of Posts and Statistics
  •  Examples of Creative Posts
  •  Designing FB Posts
  •  User engagement metrics
  •  Facebook Insights
  •  Facebook Groups
  •  Facebook Apps

Facebook Advertising

  • What is Facebook Ads
  •  Types of Objectives
  •  Popular Ads Campaigns
  •  Defining Target Audience
  •  Types of Targeting
  •  Bidding & Budget Settings
  •  Types of Ads
  •  Designing FB Ads
  •  Setup of Facebook Pixel
  •  Conversion Tracking Pixel
  •  Remarketing Strategy
  •  Reports & Analytics

X (Twitter) Marketing

  • What is X (Twitter) ?
  •  Benefits of X (Twitter)
  •  How brands use X (Twitter)
  •  Customizing the profile
  •  Profile Photo & Header Image
  •  Types of Tweets
  •  Content strategy for X (Twitter)
  •  How to increase Followers
  •  Post your First Tweet
  •  Analysis of Big Brands
  •  What is HashTag?
  •  Hashtags and its uses
  • How to use Trending #Tags
  • Tools for X (Twitter) marketing
  • X (Twitter) Analytics

X (Twitter) Ads

  • Setup X (Twitter) Ads Account
  • Types of Campaign
  • Create your Campaign
  • Followers Campaign
  • Traffic & Conversion Campaign
  • Targeting Options • Bidding & Budget
  • X (Twitter) Ad Format
  • Image Ads • Video Ads
  • Twitter Cards
  • Conversion Tracking
  • Measuring Results (KPI’s)
  • Remarketing Strategy
  • Targetting Remarketing Audience
  •  What is Video Marketing
  •  Statistics of Video Marketing
  •  Creating Channel in YouTube
  •  Customizing the YouTube Channel
  •  Types of Video Formats
  •  Create video marketing strategy
  •  Upload the First Video
  •  Video Optimizing Tips
  •  Video Settings
  •  Cards, End Screens & Sub Titles
  •  How to use Playlists
  •  YouTube Creator Studio
  •  Features of Creator Studio
  •  YouTube Analytics
  •  Increasing Subscribers
  •  Understanding copyrights and spam

LinkedIn Marketing

  • What is LinkedIn?
  • Benefits of LinkedIn Network
  • Create a LinkedIn profile
  • Optimizing the profile
  • Skills and Endorsements
  • Creating new connections
  • Posting content in profile
  • LinkedIn Groups
  • Finding Jobs on Linkedin
  • Creating company page
  • Customization of page
  • Posting on LinkedIn Page

LinkedIn Ads

  • Why LinkedIn Ads
  • Types of Campaigns
  • Creating a Campaign
  • Bidding & Budget
  • Target Audience Settings
  • Types of Ads
  •  Leads Generation Campaign
  •  Conversion Tracking
  •  Creating a Remarketing Campaign
  •  LinkedIn Ad Reports
  • What is Instagram
  •  Instagram statistics
  • How Brands use Instragram
  • Creating Instragram Account
  • Types of Instagram Accounts
  • Linking Instagram with Facebook
  • Tour of Instagram App
  • What works in Instagram
  • Types of Content (Posts & Stories)
  • Post Designing Tools
  •  Stories & Highlights
  • Importance of Hashtags
  • How to use Hashtags
  • Popular Tools for Instagram
  • Engagement Metrics
  • Instagram Analytics
  • Instagram Ads
  •  Types of Campaign
  • Creating your Campaign
  • Measuring Results
  • What is Pinterest?
  •  Pinterest Statistics
  •  How brands use Pinterest
  •  Creating a Pinterest Account
  •  Types of Accounts
  •  Customizing the Profile
  •  Pinterest Strategy
  •  Boards on Pinterest
  •  How to manage boards
  •  Pins and Links
  •  Generating Engagements
  •  How to use InfoGraphics
  •  Integrating Pinterest in Site
  •  Engagement Metrics for Pins
  •  Pinterest Analytics
  •  Advertising options on Pinterest

Quora Marketing

  • What is Quora?
  • Quora Statistics
  • Benefits of Quora Marketing
  • Top Quora Users & Brands
  • Creating Quora Account (Personal/Company)
  • Optimizing the Quora Profile
  • Following Topics & Users
  • Understanding the Quora Policies
  • How to Answer the Questions
  • Engaging with Users
  • How to Increase Followers
  • Quora KPI’s
  • Quora Stats Tool

Quora Ads

  • Creating Quora Ads Account
  • Types of Campaigns
  • Types of Audience Targetting
  • Bidding & Budget Settings
  • Types of Ad Formats
  • Implementing Conversion Tracking
  • Remarketing Integration
  • Types of Remarketing Audience
  • Creating a Remarketing Campaign
  • Measuring Results of Campaign
  • What is Email Marketing?
  • Importance of Email Marketing
  • Popular Email Marketing Software’s
  • Email Marketing Goals
  • Introduction to Mail Chimp
  • MailChimp pricing structure
  • Account setup and settings
  • Email marketing strategy
  • Creating a Subscriber List
  • Integration of Forms in Site
  • Import subscribers in list
  • Types of Email marketing campaigns
  • Email Marketing Campaign
  • What is Newsletter
  • Design a Newsletter
  • Analysing Reports of Campaign
  • What is ORM?
  • Why we need ORM
  • Examples of ORM
  • Areas to analyse in ORM
    • Search Engines
    • Blogs & Websites
    • Review Sites
    • Complaint sites
    • Social Media
  • Search Engine ORM Strategy
  • Autosuggestion & Related Searches
  • Search Engine Results
  • Image Search Results
  • Blogs & Websites ORM
  • Solutions for external websites
  • Complaint Sites ORM
  • Managing Reviews
  • Popular Review Sources
  • How to get Positive Reviews
  • How to respond to Negative Reviews
  • How to handle Fake Reviews
  • How to Manage Social Media ORM
  • Popular networks for ORM
  • Common ORM Issues
  • How to handle the issues
  • Action Plan for ORM Project
  • Tools for ORM
  • What is Inbound Marketing?
  • Why use inbound marketing
  • Know your Target audience (Buyer Persona) Analysis
  • Stages of Inbound Marketing
  • Types of Content
  • How to generate Ideas.
  • Content Marketing Strategy
  • Lead Generation Technique
  • Landing Page Designing
  • How to Close Customer
  • Customer Delight Stage
  • HubSpot Certification
  • Introduction to Analytics
  • Implementing Analytics Code
  • Setup of Conversion Tracking Code
  • Types of Reports
  • Audience Reports
  • Acquisition Reports
  • Behaviour Reports
  • Conversions Reports
  • Google Tag Manager
  • What is Google AdSense
  • How is Works?
  • Top AdSense Earners [Global / India]
  • AdSense Guidelines
  • Finding the Niche
  • Important Factors for AdSense Success
  • Types of AdSense Account
  • Applying for New Account
  • Create you first Ad
  • Ad Formats and Sizes
  • Bidding Models
  • Best Practices for Ads
  • Integrating Ads in Site
  • Blocking Sites & Categories
  • Reports Analysis
  • AdSense Optimization Tips
  • What is Affiliate Marketing?
  • How Affiliate marketing works
  • Types of Affiliate Networks
  • Top Affiliate Marketing networks
  • Affiliate marketing payment models
  • How to Find Profitable Niche
  • Develop your Affiliate Website/App/Property
  • Apply for Affiliate Marketing network
  • Amazon Affiliate Network
  • Integrating Amazon Products
  • How to promote Affiliate Products
  • Measuring Results on Affiliate sites
  • What is Freelancing?
  • How does freelancing works ?
  • Offline Freelancing Business
  • Registering Company
  • Initial Business Guidelines
  • Documentation & Quotes
  • How to manage clients
  • Online Freelancing networks
  • Create a Profile in Fiverr.com
  • Optimizing your Profile
  • Create your Gig
  • Types of Gigs
  • Optimizing the Gigs
  • How to Price your Gigs
  • How to bid on projects
  • How to handle the clients
  • Project management tools
  • Asking for reviews from clients
  • What is YouTube Monetization?
  • What is YPP?
  • Eligibility Criteria for YPP
  • Most Popular Niches in YouTube
  • Top YouTube Channels
  • How to Select Niche
  • Types of Video Content
  • Guidelines for YouTube Publishers
  • How to apply for Adsense
  • Checking Advertising Revenue in YouTube
  • Reports in Google AdSense
  • Optimizing for YouTube Revenue
  • Google Ads Fundamentals
  • Google Search Advanced
  • Google Shopping Certification
  • Google Display Certification
  • Google Video Certification
  • Google Analytics Certification
  • Bing Ads Certification
  • Facebook Blueprint Certification
  • HubSpot Certification
  • Web Trainings Academy Official Certificate

Azure Data Factory

Azure Synapse Analytics

Course Key Features

Our Azure Data Engineer course in Hyderabad is designed to provide practical and theoretical knowledge. The key features include:

  • Expert-led training from industry professionals.
  • Hands-on projects and real-time case studies.
  • Training on Azure Data Factory, Azure SQL, Synapse Analytics, and Databricks.
  • Comprehensive study materials and interview preparation.
  • 100% placement assistance and resume building support.

Skills You Will Gain after Azure Data Engineer Training in Hyderabad

Tools Covered

Azure Data Factory

Data integration, and ETL processes. Building data-driven workflows to orchestrate and automate movement of data along with data transformation, it serves the purpose to make use of. Azure Synapse Analytics

Azure Synapse Analytics

Analytics service that helps you analyze a large amount of data. It combines data warehousing and big data analytics, giving insights into both structured and unstructured data.

Azure Databricks

This is a collaboration platform for data engineering, machine learning, and analytics. It offers a cloud-based Apache Spark environment that is helpful in efficiently processing big data.

Azure SQL Database

A managed relational database service that provides high availability, scalability, and security. It’s used for storing structured data and supports both transactional and analytical workloads.

Power BI

A powerful tool for business intelligence and data visualization. It helps in creating interactive reports and dashboards from data stored in Azure SQL Database or other sources.

Azure Blob Storage

It is an object storage service. It can store large amounts of unstructured data, like text, images, videos, and backups. This is for big data analytics and archiving.

Azure Monitor & Security Center

Offers full-stack monitoring and security capabilities for monitoring application and resource health. Azure Monitor helps gather insights, whereas Azure Security Center provides security management and threat protection.

Azure Data Lake Storage

A highly scalable and secure data lake solution for storing massive amounts of structured and unstructured data. It supports analytics workloads, big data processing, and machine learning.

Azure HDInsight

A fully managed cloud service that provides Hadoop, Spark, and other open-source frameworks for big data processing. It’s used for large-scale data processing and analytics.

Azure Cosmos DB

A globally distributed, multi-model database service designed for mission-critical applications. It supports NoSQL data models and is used for high-availability, low-latency data storage.

Azure Data Explorer (ADX)

A fast and highly scalable data exploration service for log and telemetry data. It’s used for querying large datasets and analyzing time-series data.

Azure Machine Learning

A cloud-based service designed for building, training, and deploying machine learning models. Data engineers can, therefore, interact with data scientists to automate predictive analytics.

These tools cover a range of functionalities from data integration, storage, analytics, machine learning, to security and will enhance the depth of your Azure Data Engineer Course.

What is Azure Data Engineer ?

An Azure Data Engineer is a professional who designs, builds, and maintains data systems and infrastructure using Microsoft Azure services. They specialize in creating solutions for storing, processing, and analyzing large sets of data to help businesses make data-driven decisions. Azure Data Engineers are experts in working with Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, and other cloud-based tools offered by Microsoft.
These engineers are necessary for making the pipeline of data very efficient, secure, and scalable. Data scientists, data analysts, and business analysts work closely with these engineers to collect, clean, and organize the data; all this is done ultimately in order to give high-quality data to be used by organizations for their business intelligence, machine learning, or any other analytics tasks.

Key Responsibilities of an Azure Data Engineer:

  • Expert-led training from industry professionals.
  • Hands-on projects and real-time case studies.
  • Training on Azure Data Factory, Azure SQL, Synapse Analytics, and Databricks.
  • Comprehensive study materials and interview preparation.
  • 100% placement assistance and resume building support.

Who Can Learn This Course

Our Azure Data Engineer Coaching in Hyderabad is perfect for:

IT Professionals

Enhance your expertise by mastering Azure cloud technologies like Azure Data Factory and Azure SQL Database to manage cloud data solutions and improve your IT infrastructure.

Data Analysts

Become a data engineer by learning how to work with data pipelines, processes involving ETL, and large data sets using Azure tools, which facilitates better management of data

Software Developers

Specialize in data engineering with hands-on experience in tools like Azure Synapse Analytics and Azure Databricks to design scalable and efficient cloud-based solutions.

Freshers & Graduates

Launch your career in cloud computing, armed with thorough knowledge of the field of Azure Data Engineering that opens doors to highly in-demand jobs in the cloud space.

Business Intelligence (BI) Professionals

Upgrade your skills in cloud-based data platforms like Power BI and Azure Synapse to generate actionable business insights and drive data-driven decisions.

Cloud Enthusiasts and Data Science Aspirants

Learn the fundamentals of cloud data engineering and build a strong foundation for a future career in data science, cloud architecture, or other data-related roles.

Eligibility Criteria

Basic Knowledge of Databases

Understanding of databases and SQL is important to manage and query data in Azure. This serves as a basis for data engineering activities.

Cloud Computing Fundamentals

Understanding cloud computing concepts like cloud storage, virtual machines, and cloud platforms will help you understand how the different services in Azure work together to get the job done for data engineering.

Analytical Mindset

It will require strong analytical and critical thinking skills to recognize patterns and solve complex data challenges. As a data engineer, you will be required to interpret and optimize the flow of data.

Interest in Working with Data

An interest in working with large, complex datasets is key. Azure Data Engineers must feel comfortable processing, transforming, and storing data efficiently within the Azure cloud environment.

Programming Knowledge

Knowing programming languages such as Python, SQL, or Java will help in automating workflows, creating data pipelines, and writing code that integrates with Azure Data Services.

Problem-Solving Skills

Data engineers often face problems like data inconsistency or bottlenecks in data pipelines. A strong ability to identify issues and come up with logical solutions is crucial for success.

Willingness to Learn and Adapt

The role of Azure Data Engineer is constantly evolving, and being updated with the new tools, such as Azure Data Factory or Azure Synapse Analytics, ensures that data engineering processes are efficiently done.

Experience in IT or Data-Related Roles

Prior experience in IT, database administration, or data analysis would be a good head start. Familiarity with systems architecture and data processing concepts is useful in understanding the tools of Azure.

How to Become a Azure Data Engineer

To become an Azure Data Engineer, a candidate needs foundational IT knowledge with technical expertise in azure cloud services and hands-on experience in data engineering concepts. If you want to get yourself enrolled in the Azure Data Engineer course in Hyderabad, follow these steps:

Why Choose Web Trainings For Azure Data Engineer Course in Hyderabad

Experienced Trainers with Real-World Azure Data Engineering Expertise

Comprehensive Course Curriculum Covering All Core Azure Data Tools

Hands-On Training with Real-Time Projects for Practical Experience

Flexible Class Timings to Suit Working Professionals and Freshers

Industry-Recognized Certification to Boost Your Career Opportunities

100% Placement Assistance with Strong Industry Connections

Affordable Course Fees with Flexible Payment Options

Post-Course Support for Continued Career Guidance

Updated Course Content Covering Latest Azure Data Engineering Trends

Access to Live Demos and Real-World Case Studies

Interactive Learning Environment with Doubt-Resolution Sessions

Comprehensive Learning Materials and Resources Provided

Collaborations with Leading IT Companies for Internships

Positive Alumni Reviews and Success Stories from Past Graduates

By following these steps and enrolling in a top-rated Azure Data Engineer Course Institute in Hyderabad at Web Trainings Academy, you can become a skilled data engineer equipped with the knowledge and tools necessary for a successful career in the Azure cloud environment.

Growing Demand for Azure Data Engineers

With the growth of businesses into the cloud environment, the demand for a professional Azure Data Engineer is simply increasing. As one of the premier environments for data storage, processing, and analytics, Azure is inspiring companies to be able to manage and maintain their cloud data infrastructures with expertise. This growing demand shines light on the need for training in Azure Data Engineering, and Web Trainings Academy provides the best Azure Data Engineer Course in Hyderabad, which will help in meeting that requirement. Completing this extensive training will equip you with essential skills and real-world knowledge, making you an in-demand professional ready to work in organizations in a variety of sectors, such as IT, healthcare, finance, and e-commerce.

  • High demand for Azure Data Engineers across various industries
  • Cloud-based skills essential for modern data-driven businesses
  • Opportunities in IT, healthcare, finance, e-commerce
  • Real-world training with hands-on experience at Web Trainings Academy
  • Top certifications to boost career growth and job prospects

FAQs related to Azure Data Engineer Training

The course focuses on equipping students with the skills needed to design and implement data solutions using Microsoft Azure. Topics include data storage, processing, security, and analytics.

This course is ideal for IT professionals, data analysts, database administrators, software developers, and freshers who want to build a career in cloud data engineering.

Basic knowledge of databases and SQL is recommended. Familiarity with cloud computing concepts can be beneficial but is not mandatory.

The course duration is typically 2-3 months, depending on the learning schedule. It includes both theory and practical sessions.

Upon successful completion, you will receive a certification from Web Trainings Academy, helping you demonstrate your skills to potential employers.

Graduates can expect to land roles such as Azure Data Engineer, Data Analyst, Data Architect, or Cloud Solutions Architect at top companies in sectors like IT, healthcare, and finance.

Web Trainings Academy is recognized as one of theBest  Azure Data Engineer training Institute Hyderabad. With expert instructors, a structured curriculum, and practical hands-on experience, we provide top-notch education that ensures students are job-ready.

Yes, Web Trainings Academy offers placement assistance to help you secure a job after completing the Azure Data Engineer course.

Yes, the course includes practical sessions and projects that give you real-world experience in working with Azure Data Engineering tools and technologies.

You can easily enroll by visiting our website, contacting our admissions team, or visiting Web Trainings Academy in Hyderabad for more details.