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Azure Data Engineering Training in Hyderabad | Online Azure Data

Azure Data Engineering Training in Hyderabad

Become a pro data engineer with Next IT Career's Azure Data Engineering Training in Hyderabad — implementing and managing real Azure data engineering workloads from day one.

Covering Azure Synapse Analytics, Data Lake Storage Gen2, Stream Analytics, and Databricks — with hands-on labs preparing you for a successful career in 90 days.

Course Snapshot

Duration 90 Days
Level All Levels
Subject Azure Data Engineer
Language English, Telugu
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4.9 Google Rating
12+ Years of Trainer Experience
5,000+ Successful Placements
Certified Trainers Industry Experts
Same-Day Free Demo Class Access
Free Visit Centre Tour Hyderabad
★★★★★ 0 / 5 Google Rating6,586+ Reviews
0+ Learners Trained
0+ Hiring Partners
0% Placement Rate
0+ Years Industry Mentors
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Azure Data Engineer Training Institute in Hyderabad

Become a pro data engineer with our Azure data engineering training in Hyderabad. The main responsibility of a data engineer in most businesses is to consolidate and convert data from disparate structured and unstructured data systems into formats appropriate for use in developing analytics solutions. Given a unique set of business objectives and restrictions, an Azure data engineer works to guarantee that data pipelines and data storage are effective, efficient, well-organized, and dependable. We at Next IT Career offer Azure training in Ameerpet — implementing and managing Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, and Azure Databricks workloads during the course.

Data engineering fundamentals are covered, including data pipeline orchestration, data lake file manipulation, relational data warehouse development and loading, real-time data stream capture and aggregation, and asset and lineage tracking.

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Key Highlights of Azure Data Engineering Training in Hyderabad

Eleven reasons our Azure Data Engineering program prepares you for a real-world cloud data career.

01 / TRAINING

Azure Data Engineering Training

Implement and manage real Azure data engineering workloads — Synapse Analytics, Data Lake Storage Gen2, Stream Analytics, and Databricks — under expert guidance.

02 / MODE

Online & Offline Training

We offer both online and offline classes, so you may drop in whenever it works for you — same curriculum, same trainers, either way.

03 / PROJECTS

Real-Time Projects

A variety of hands-on activities familiarize you with Azure's suite, so you can optimize, monitor, and manage a data engineering workload at any scale.

04 / PLACEMENTS

Placement Support

5,000+ Next IT Career alumni have been placed across leading IT companies — mock interviews, resume prep, and recruiter introductions included.

05 / CERTIFICATION

Certification

Receive an Azure Data Engineering course completion certificate — verified proof of your skills for recruiters and hiring managers.

06 / LOCATION

Hyderabad Location

Train at our Ameerpet centre, or join online — serving learners across Hyderabad and beyond.

07 / EXPERTISE

Expert Guidance

Learn from trainers experienced in deploying Azure data platform technologies for real analytical solutions — not just theory.

08 / FLEXIBLE

Flexible Training Hours

Live sessions scheduled to accommodate diverse schedules, whether you're a working professional or a full-time learner.

10 / RESOURCES

Resource Access

Regular updates, training videos, and premium materials for online batches, plus LMS access for revision during your job search.

11 / SUPPORT

Comprehensive Support

Premium access to training materials, interview question dumps, and a Learning Management System (LMS) for a complete learning experience.

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What is Azure Data Engineering & How Does It Work?

Microsoft Azure isn't just cloud storage — it's a full data platform. Here's what makes it the engine recruiters hire for.

☁️

What is Azure Data Engineering?

The main responsibility of a data engineer in most businesses is to consolidate and convert data from disparate structured and unstructured data systems into formats appropriate for developing analytics solutions. An Azure data engineer works to guarantee that data pipelines and data storage are effective, efficient, well-organized, and dependable.

Core workloads you'll implement:
  • Azure Synapse Analytics
  • Azure Data Lake Storage Gen2
  • Azure Stream Analytics
  • Azure Databricks
⚙️

How Does Azure Data Engineering Work?

Data engineering fundamentals covered in this course include data pipeline orchestration, data lake file manipulation, relational data warehouse development and loading, real-time data stream capture and aggregation, and asset and lineage tracking.

Its architecture supports:
  • Data pipeline orchestration via Azure Data Factory
  • Relational data warehouse development & loading
  • Real-time data stream capture & aggregation
  • Asset and lineage tracking across pipelines
🎯

Who Are The Best Candidates?

This course is designed for data professionals, data architects, and business intelligence experts who want a deeper understanding of data engineering and Microsoft Azure's capabilities for deploying data platform technologies to create analytical solutions. Data analysts and data scientists who use analytical tools hosted on Microsoft Azure are the course's secondary target audience.

Ideal if you are a:
  • Data professional or data architect
  • Business intelligence expert
  • Data analyst using Azure-hosted tools
  • Data scientist wanting platform depth
🚀

Use Cutting-Edge Technology

Your data visualization and analysis abilities will reach new heights once you start using technologies like Apache Spark to improve the efficiency of big-data analytical programs. By the end of the course, you'll optimize, monitor, and manage a data engineering workload at any scale.

You'll come away job-ready with:
  • A firm foundation as a data engineer
  • Apache Spark for big-data efficiency
  • Both online and offline class options
  • A completion certificate on finishing the program
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Who Should Learn Azure Data Engineering?

This course is designed for data professionals, data architects, and business intelligence experts who want a deeper understanding of data engineering and Microsoft Azure's capabilities for deploying data platform technologies.

01

Data Professionals

Individuals already engaged in data work can deepen their capabilities by mastering Azure's data platform technologies.

02

Data Architects

Architects designing analytical solutions gain hands-on depth with Synapse Analytics, Data Lake, and Databricks.

03

BI Experts

Business intelligence experts can extend their skillset into the underlying data engineering that powers their dashboards.

04

Data Analysts

Analysts using analytical tools hosted on Microsoft Azure are a core secondary audience for this course.

05

Data Scientists

Data scientists who want platform-level fluency across Azure's data engineering suite.

06

IT Pros Transitioning

Individuals from diverse IT backgrounds looking to transition into cloud data engineering can find it beneficial.

07

Graduates in Data Fields

BE/BTech/MCA graduates seeking a career in cloud data engineering can gain a competitive edge with Azure skills.

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Why Choose Us for Azure Data Engineering Training in Hyderabad?

A holistic learning experience guided by experienced trainers, practical application through real Azure workloads, comprehensive curriculum, robust placement support, and interactive sessions.

Experienced Trainers

Learn from trainers with hands-on experience deploying Azure data platform technologies, ensuring top-notch training at a cost-effective price.

Real Azure Workloads

A variety of hands-on activities familiarize you with Azure's suite — Synapse, Data Lake, Stream Analytics, and Databricks — not slides.

Comprehensive Curriculum

From storage account fundamentals to Apache Spark Pools for in-memory cluster computing — a complete, industry-focused curriculum.

Assistance with Placement

Our dedicated placement support team offers mock interviews, resume preparation, and communication-building skills post-training.

Practical Learning

We prioritize concept-based, hands-on training for a comprehensive understanding of Azure data engineering, with practical execution under trainer guidance.

Group Discussions & Assignments

Interactive group discussions during live sessions foster an environment for trainees to deliberate on course topics and get personalized feedback.

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Azure Data Engineering Certification: Elevate Your Expertise

On completing the program, every trainee receives an Azure Data Engineering course completion certificate issued by Next IT Career — verified proof of your platform expertise.

  • Course completion certificate from Next IT Career
  • Verifiable proof of practical Azure expertise
  • Recognised by 450+ hiring partners
Next IT Career — Azure Data Engineering Course Completion Certificate sample
Sample · Course Completion Certificate
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Hiring Partners

Our Students Placed in Top MNCs

5,000+ Next IT Career alumni have been placed across 450+ leading IT companies — from global giants like Infosys, IBM, and Deloitte to specialist consulting firms.

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Azure Data Engineering Skills You Will Learn

Thirteen concrete capabilities you'll walk out with — directly aligned to what recruiters test on.

Azure Storage Management

Set up a Storage Account and choose the best storage option — the foundation every Azure data pipeline builds on.

Azure Data Factory

Build and manage cloud-based data pipelines using this fully managed orchestration service.

Azure Synapse Analytics

Use Synapse Analytics features for a variety of analytical tasks, from ad-hoc queries to scheduled pipelines.

Azure Data Lake Storage Gen2

Manipulate data lake files at scale with a hierarchical namespace built for big-data analytics.

Azure Stream Analytics

Capture and aggregate real-time data streams for low-latency analytics and dashboards.

Azure Databricks

Implement and manage Databricks workloads for collaborative, notebook-driven data engineering.

Apache Spark Pools

Do data engineering with Azure Synapse Apache Spark Pools to improve big-data analytical efficiency through in-memory cluster computing.

Modern Data Warehousing

Work effectively and securely with Modern Data Warehouses using Synapse Analytics tools and approaches.

Data Pipeline Orchestration

Design orchestration flows that move data reliably from source systems into analytics-ready formats.

Relational Data Warehouse Development

Develop and load relational data warehouses that support consistent, dependable reporting.

Real-Time Stream Capture

Capture and aggregate real-time data streams as part of end-to-end pipeline design.

Asset & Lineage Tracking

Track data assets and lineage across pipelines for governance, auditability, and trust.

Cloud Computing Fundamentals

Understand how the rise of cloud computing has opened new doors for data-driven enterprises.

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Job Roles & Designations After Azure Data Engineering Training

Nine common roles graduates step into — across pipelines, platform architecture, and analytics engineering.

01

Azure Data Engineer

Implements and manages data pipelines and storage on Microsoft Azure, ensuring workloads are effective, efficient, and dependable.

02

Data Pipeline Engineer

Designs and orchestrates pipelines using Azure Data Factory to move data from disparate sources into analytics-ready formats.

03

Azure Data Factory Developer

Builds and maintains cloud-based data pipelines, focused on orchestration, scheduling, and monitoring.

04

Big Data Engineer (Databricks)

Works with Azure Databricks and Apache Spark Pools to process large-scale datasets efficiently.

05

Data Warehouse Developer (Synapse)

Develops and loads relational data warehouses using Azure Synapse Analytics for enterprise reporting.

06

Cloud Data Architect

Designs the overall blueprint for data platform technologies deployed on Microsoft Azure.

07

BI Data Engineer

Builds the data foundations that power business intelligence dashboards and analytical tools.

08

Data Platform Engineer

Manages Azure Data Lake Storage Gen2 and related services underpinning the data platform.

09

Analytics Engineer

Bridges data engineering and analytics, preparing datasets for deeper business insight.

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Why Azure Pays Well

Pay Scale for Azure Data Engineering Professionals

Azure data engineering is one of the highest-paying cloud skills in India. These figures are indicative — actual offers depend on experience, certifications, location, and market demand.

🚀

Entry · India

₹5.59.0L

Annual range. Average around ₹7.0 Lakhs for freshers.

📍

Hyderabad

₹8.2L

Average annual salary in the Hyderabad market.

📊

Median Salary

₹11.5L

Median annual salary for Azure data engineers nationally.

💼

Senior Engineer

₹18.0L

Typical pay for Senior Azure Data Engineer roles.

🏆

Highest Offered

₹32.0L

Top experienced cloud data professionals command this annually.

Average · All Azure DE Pros

₹13.4L

National annual average across all experience levels — your earning benchmark for Azure data engineering careers.

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From Enrollment to Offer Letter

A clear, guided journey — mentors and placement support walk with you through every milestone.

90Days to job-ready
4Guided milestones
100%Placement support
90-Day Program

Your career journey, mentored at every step.

From your first live session to your offer letter — walk it with industry experts who've placed thousands of engineers.

1

Enrol & Onboard

Join the Azure Data Engineering cohort and meet your trainer in your first live session — orientation and learning roadmap set out clearly.

2

Master the Platform

90 days of hands-on training — Synapse Analytics, Data Lake Storage Gen2, Stream Analytics, Databricks, and Data Factory pipelines.

3

Build & Certify

Complete live data-pipeline projects and earn your Next IT Career Azure Data Engineering course completion certificate.

4

Interview & Place

Mock interviews, resume polishing, soft-skill prep, and direct recruiter introductions — placement support until you land the role.

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Recent Placements · Now Hiring

Our students.
Real offer letters.

5,000+ alumni placed across Cognizant, Infosys, Wipro, Deloitte, Capgemini, Accenture and more. Scroll to see recent Azure Data Engineering career wins. Hover any card to pause.

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Real Customer Experiences

Client Feedback
4.9 ★★★★★ 6,586 reviews
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Frequently Asked Questions

Quick answers to the questions we hear most often from prospective Azure Data Engineering learners.

In what ways will you succeed?+

When you have finished this training, you will be able to:

  • Learn about the changes in the data landscape and how the rise of cloud computing has opened up new doors for enterprises.
  • Learn the fundamentals of Azure storage management, such as how to set up a Storage Account and choose the best storage option for your needs.
  • Use Azure Data Factory, a cloud-based service, to build and manage data pipelines.
  • Use the Azure Synapse Analytics features for a variety of analytical tasks.
  • Learn more about the Azure Synapse Analytics tools and approaches that may be utilized for effective and secure work with Modern Data Warehouses.
  • Improve the efficiency of big-data analytical applications using in-memory cluster computing with Azure Synapse Apache Spark Pools.
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Get Started Today

Trusted Azure Data Engineering Training in Hyderabad

Looking to launch a career in cloud data engineering? Next IT Career offers expert-led Azure training, hands-on labs, certification support, and placement assistance — your next offer letter starts here.

12+
Years Experience
5,000+
Students Placed
4.9★
Google Rating