Microsoft Azure Data Engineer Course In Pune

Duration : 60 hrs

Learn Microsoft Azure Data Engineer Course With 100% Placement Assistance In 2023

Are you searching for an Azure Data Engineer Training institute, particularly a “near me” classroom? Then look no further than Technogeeks

Technogeeks’ Azure Data Engineer Certification Course is designed to help IT professionals, beginners and data engineers gain experience in designing, building, and managing data solutions using Microsoft Azure services. 

This Azure Data Engineer training in Pune will teach you data engineering concepts like how to collect, store, transform, clean, and load data.

You get hands-on experience with Azure services like Azure Data Storage, Data Factory, Azure Synapse Analytics, Data Warehousing concepts, How to Optimize Data Queries in Azure, Azure Databricks, and many more.

Experienced industry professionals designed this course curriculum to ensure that it covered the most current and in-demand topics. This means that you will receive training on the latest trends and industry-based requirements.

At Technogeeks, the Azure Data Engineer Course not only increases your knowledge in data engineering but also keeps you up-to-date with the latest industry developments and trends.

After you finish the course, you will go through mock interviews and work on your CV to be ready for real interviews.

Azure Data Engineering Training Syllabus​

Best Blended Syllabus for Azure Data Engineer Course in Pune with Placement Oriented Training Institute​

  • Types of storages offered
  •  Create your Azure Storage Account
  • What is an Azure application?
  • Connect an application to Azure Storage API
  • Connect to your Azure storage account
  • Explore Azure Storage security features
  • Storage account keys
  • Understand shared access signatures
  • Control network access to your storage account
  • Understand Advanced Threat Protection for Azure Storage
  • Explore Azure Data Lake Storage security features
  • What are blobs?
  • Introduction to Blob storage
  • Design a storage organization strategy

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  • The evolving world of data that started from file system storage
  •  Data abundance
  • Data Engineering common Problems
  • Data Engineer job roles and responsibilities
  •  What is Data Engineering Processing – (ETL)  Extract Transform and Load
  •  Frequently used Azure Data Engineering Services
  • Data storage in Azure Storage
  • Data storage in Azure Data Lake Storage
  • Azure Cosmos DB
  •  Azure SQL Database
  • Azure Synapse Analytics
  • Azure Stream Analytics
  • Azure HDInsight

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  • How to integrate data with Azure Data Factory or Azure Synapse Pipeline
  • Introduction to Azure Data Factory
  • Introduction to data integration patterns
  • Data factory process and its components
  • Azure Data Factory security
  • Set-up Azure Data Factory
  • Creating linked services,datasets and data factory activities, pipelines
  • Managing integration runtimes
  • Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipeline
  • data factory ingestion methods
  • Data factory connectors
  • Data ingestion security considerations

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  • Introduction to Data Factory transformation methods
  • Data Factory transformation types
  • Debugging mapping data flow
  • Introduction to slowly changing dimensions
  • Introduction to data factory control flow
  • Data factory pipelines and Debugging
  • Adding parameters to data factory components
  • Execute data factory packages
  • Introduction to SQL Server Integration Services
  • Understand the Azure-SIS integration runtime
  • Set-up Azure-SIS integration runtime
  • Run SSIS packages in Azure Data Factory
  • Migrate SSIS packages to Azure Data Factory
  • Configure a git repository with a development factory
  • Create and merge a feature branch
  • Deploy a release pipeline
  • Monitoring pipeline runs and integration with Azure Monitor
  • Setting up alerts
  • Rerun pipeline runs

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  • Introduction Azure Synapse Analytics
  • How Azure Synapse Analytics works and its usage
  • Creating Azure Synapse Analytics workspace
  • Describe Azure Synapse Analytics SQL
  • Explain Apache Spark in Azure Synapse Analytics
  • Orchestrate data integration with Azure Synapse pipelines
  • Visualize your analytics with Power BI
  • Understand hybrid transactional analytical processing with Azure Synapse Link
  • Usage of Azure Synapse Studio

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  • Introduction to Azure Synapse Analytical processes
  • Usage of Data hub,Develop hub,Integrate hub,Monitor hub and Manage hub
  • Introduction to Modern Data Warehouse
  • Modern Data Warehousing Architecture
  •  Ingestion patterns for a Data Warehouse
  •  Understanding data storage for a Data Warehouse
  •  Understanding file formats and structure for a modern data warehouse
  • Prepare and transform data with Azure Synapse Analytics

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  • Describing a modern data warehouse
  • Designing ingestion patterns for modern data warehouse
  • Understanding data storage for a modern data warehouse
  • Understanding file formats and structure for a modern data warehouse

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  • Understanding of data load
  • Introduction to load methods into Azure Synapse Analytics
  • Managing source data files and singleton updates
  • Set-up dedicated data load accounts
  • Implementing workload management
  • Understanding Performance issues related to tables

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  • Understanding table distribution design
  • Usage of indexes to improve query performance
  • Introduction to query plans
  • Creating statistics to improve query performance
  • Improve query performance with materialized views
  • Use read committed snapshot for data consistency
  • Describe the integration methods between SQL and spark pools in Azure Synapse Analytics
  • Understanding the use-cases for SQL and spark pools integration
  • Externalize the use of spark pools within Azure Synapse Workspace
  • Transfer data outside the synapse workspace using the PySpark connector
  • Azure Synapse Analytics development tools
  • Understanding T-SQL language for Azure Synapse Analytics

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  • Scale and Pause compute resources in Azure Synapse Analytics
  • Managing workloads in Azure Synapse Analytics
  • Use Azure Advisor to review recommendations
  • Use dynamic management views to identify and troubleshoot query performance
  • skewed data and space usage
  • Network security options for Azure Synapse Analytics
  • Configure Conditional Access and authentication
  • Managing authorization through column and row level security
  • Managing sensitive data with Dynamic Data Masking
  • Implement encryption in Azure Synapse Analytics

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  • Azure Databricks and its workloads
  • Use of Apache Spark in Azure Databricks
  • Create a Spark cluster
  • Use Spark in notebooks
  • Use Spark to work with data files
  • Visualize data
  • Get Started with Delta Lake and Create Delta Lake tables
  • Create and query catalog tables
  • Use of Delta Lake for streaming data
  • Introduction to SQL Warehouses
  • Creation of databases and tables
  • Creating queries and dashboards
  • Understanding Azure Databricks notebooks and pipelines
  • Create a linked service for Azure Databricks
  • Use a Notebook activity in a pipeline
  • Use parameters in a notebook

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About Course​

Azure Data Engineer is one of the most trending and fastest-growing technologies on the market today because of the tremendous growth of Microsoft Azure Cloud technology.

The Data Engineer course will teach you how to use all Azure services, such as Azure Data Factory, Azure Synapse Analytics, how to host websites in Azure, SQL Database and many more.

This course curriculum is designed in such a way that it will help you clear the official Microsoft Azure Data Engineering Exam (DP-203).

Organizations should now store large amounts of data in the cloud, and they need to be on the lookout for qualified employees to manage this data in a useful manner. Appropriately, becoming a professional data engineer will never disappoint you.

Technogeeks is the best place to learn Azure Data Engineer.Want to become an Azure Data Engineer? Enroll now and begin your cloud computing journey as an Azure Data Engineer.

  1. Must be proficient in using an RDBMS such as Oracle and SQL
  2. Data warehousing solutions
  3. Knowledge of basic statistics
  4. Familiarity with UNIX command line and scripting
  5. Good Programming skills for analyzing and manipulating data (Python,Java)
  6. Good communication skills
  7. Excellent problem-solving skills and the ability to work in a team environment

👉Learning Mode: Live Interactive Online training, Classroom training in Pune

👉Training hrs: 35  hrs of training

👉Assignments Duration: 25 hrs of Assignments

👉Projects: 1 Real-time Projects

👉Modules: 11

👉Certificate: Course Completion Certificate with unique verification ID

👉Mentor Support: 1:1 Mentorship

👉Resources: Classroom Recordings, Notes, Assignments, Projects, Interview FAQs

👉Mock Interviews

👉Job Assistance: Telegram channel for placement Assistance:

👉Reviews: 1700+ reviews on Google by students with a 4.8 average rating


In the Azure Data Engineer Course, you’ll learn following tools

  • Azure Synapse Analytics
  • Azure Databricks
  • Azure Data Storage
  • Azure Data Factory
  • Azure Cosmos DB
  • ETL

Course Benefits​

Benefits of Azure Data Engineering Certification Course

  • Pay only after attending one FREE TRIAL OF RECORDED LESSON.
  • No prerequisite.
  • Course designed for non-IT & IT professionals.
  • Classroom & Online Training – Can switch from online training to classroom training.
  • 100% placement calls guaranteed till you get placed.
  • Working professional as instructor.
  • Hands-on Experience with Real-Time Projects.
  • Proof of concept (POC) to demonstrate or self-evaluate the concept or theory taught by the instructor. 
  • Hands-on Experience with Real-Time Projects.
  • Resume Building & Mock Interviews.
  • Evaluation after each Topic completion.
  • Interview Preparation Support.

Instructor-led Azure Data Engineer Live Online/Classroom Training

Checkout Latest Batch Schedule

Azure Data Engineer Certification From Technogeeks

Azure Data Engineering Training Completion Certificate From Technogeeks Will Help You With

  • Career Opportunities in Azure Cloud Computing
  • Improving Reputation as skilled professional
  • Proof of Learning
  • Establishing Professional Credibility

Batches Completed

Industry Oriented Syllabus

Designed By Expert


Happy Students

Self Assessments

Quizzes, POC


8+ Years Of Experience

Recorded Sessions

1 Year Of Access

Azure Data Engineer Certification Training

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Training To Placement Process

Tools Covered In Azure Data Engineer Course

Azure Data Engineer Tools To Make You Placement Worthy



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Azure Data Engineer Job Roles


As mentioned earlier, course curriculums designed by working professionals that can help you land top jobs in MNCs.Additionaly, you will work on real time projects and daily assignments as per industry based requirements which can help you fast-track your career.

Once your projects are reviewed by your instructor and you complete your mock interviews, Technogeeks will award you a Course Completion Certificate.

You can talk to our career counselor for any doubts or queries. 

Suppose you have doubts about your background or skill set before choosing the course. Let us know, and we will help you clarify any questions.

Please don’t hesitate to contact us for any course-related assistance.

Like our other IT training courses, the data engineer course is taught through Google Classroom so that you can take it in a classroom in Pune as well as in an online mode.

Yes, we provide 100% placement assistance. Technogeeks has helped many working professionals and freshers start their careers from scratch and transform their dream job into reality. 

You can check our official telegram channel for the job openings provided by us.


The field of Data Engineering has a bright future. As organizations generate and collect more data, there is an increasing demand for systems and infrastructure to manage and analyze this data. So ultimately, demand for Data Engineers increases, who are responsible for designing and building the systems that enable organizations to use data effectively. As a result, there are numerous opportunities for career growth and advancement in this data engineering field.

As per Ambition Box, the salary range for Data Engineers in India is between ₹3.6 Lakhs to ₹22.0 Lakhs, with an average annual salary of ₹8.5 Lakhs. These salary evaluations are based on the latest salaries received from 17.4k Data Engineers.

You can watch a recorded demo session before you enroll. The recorded session will be a mix of theoretical concepts & hands-on practice. You can examine how the instructor teaches and the overall online and classroom learning environment.

We provide live interactive training recordings for students who miss classes. It allows students to catch up on missed material and stay up-to-date with the course. However, it is important to note that lecture recordings should not be considered a substitute for attending classes. There is often a lot of value in participating in class discussions and asking questions in person.

The Azure Data Engineer is in charge of developing, deploying, and maintaining Microsoft BI solutions to fulfill market and / or customer demands. They serve customers, projects or entities by applying their understanding of technologies, applications, techniques, procedures and tools. reports:

  • A Fresher’s annual average pay is INR 3,45,000.
  • A professional with 3 to 4 years of experience earns up to INR 6,603,240.00per year.
  • A professional with 6-9 years of experience may expect to earn up to INR 16,508,100.00 per year on average.


It’s critical to understand the prerequisites for being a competent Azure Data Engineer.

All types of data engineers have the same set of fundamental abilities like database administration, coding and programming.


Given the vast variety of ideas, different styles of questions and the unpredictability of the test, the Azure data engineer certification is one of the most challenging certifications to pass. A solid foundation in data engineering might assist you in obtaining the certification.


Azure Data Engineers should be well-versed in programming languages like as Python, SQL and Scala. They should be able to create and maintain data pipelines, data lakes, and data warehouses using these languages.


Azure Data Engineer is considered as one of the high paying jobs in India.

The salary of an Azure data Engineer depends upon several factors like projects and company. The average salary for an Azure Data Engineer is ₹7,62,048 in India. reports:

  • A Fresher’s annual average pay is INR 3,45,000.
  • A professional with 3 to 4 years of experience earns up to INR 6,603,240.00per year.
  • A professional with 6-9 years of experience may expect to earn up to INR 16,508,100.00 per year on average.


Given the vast variety of ideas, different styles of questions and the unpredictability of the test, the Azure data engineer certification is one of the most challenging certifications to pass. A solid foundation in data engineering might assist you in obtaining the certification.


It offers many certificates for learning some Azure abilities. According to Microsoft, about 365,000 companies start their account on Azure platform each year. This shows that Microsoft Azure Data Engineers are in high demand. reports:

  • A Fresher’s annual average pay is INR 3,45,000.
  • A professional with 3 to 4 years of experience earns up to INR 6,603,240.00per year.
  • A professional with 6-9 years of experience may expect to earn up to INR 16,508,100.00 per year on average.

It’s difficult to tell which one certification is more challenging than the other. Because the level of difficulty is determined on the individual’s past experience and familiarity with the platform. Both Azure and AWS certifications are considered to be tough and involve a large amount of study and hands on experience.

Yes. A non-IT person can learn Azure, but it will take a lot of effort. Microsoft Azure certificate is considered to be one of the toughest certifications.You don’t need to be concerned if you have access to the correct learning resources.

  • Begin by researching Azure’s fundamental ideas. 
  • Second, begin implementing the principles in Azure Portal on your own. To study the principles, you may register a free trial account on Azure.

Here at Technogeeks, we offer the best Microsoft Azure Data Engineer course in Pune with proper skills building. We cover everything from the basics and test you based on real life industry projects.


It’s critical to understand the prerequisites for being a competent Azure Data Engineer.

All types of data engineers have the same set of fundamental abilities like database administration, coding and programming.

Azure data engineers should have a fundamental awareness of the development of the data landscape and its influence on data engineers. He should understand the fundamental distinction between cloud and on-premises data solutions. He should be quite familiar with Azure services.

Azure data engineers should have the following fundamental abilities.

  • warehousing of data 
  • ETL software
  • Database systems like NoSQL and SQL
  • Learning by machine
  • The programming languages Python, Scala, and Java
  • Data APIs comprehend the fundamental notion of distributed systems
  • solid understanding of data structures and algorithms

AWS experts earn a little bit more than Azure Engineers. 

  • AWS experts earn an average of 6.3 lakhs yearly
  • whereas Azure professionals earn approximately 6.1 lakhs yearly.

Which cloud job has the highest salary?

AWS experts earn a little bit more than Azure Engineers. 

  • AWS experts earn an average of 6.3 lakhs yearly
  • whereas Azure professionals earn approximately 6.1 lakhs yearly.

As A fresher, getting a job as an Azure Data Engineer can be challenging. But you can land a job if you follow the given steps.

  • Gain the right skills: Learn the required skills from a seasoned professional.
  • Add cloud computing certifications to your resume: certifications are very important for freshers, so choose the right ones.
  • Take a training course like Technogeeks: Training courses have a proper curriculum with an updated syllabus. They can also help you with their placement assistance.
  • Internships: Internships will help you gain the experience required for an Azure Data Engineer. 
  • Update your profile on job portals: This is one of the most important steps. This will help recruiters to take notice of you.

Technogeeks offers the best Microsoft Azure Data Engineer course in Pune with proper skills building. We cover everything from the basics and test you based on real-life industry projects.

AZ-305 Microsoft Certified: Azure Solutions Architect Expert 

According to the Global Knowledge 2021 IT Skills and Salary Survey, Microsoft Certified: Azure Solutions Architect Expert is among the highest-paying qualifications. The Azure Solutions Architect Expert (AZ-305) certification is at the expert level.

Azure AI Engineers will be among the most sought-after Azure professionals in the coming years once they have acquired all of the necessary knowledge and abilities in machine learning and artificial intelligence. This is why Azure AI Engineers are eventually getting compensated well.

It is not necessary to have knowledge of Python programming to learn Azure Data Engineering.

But a basic understanding of Python is beneficial because it is mainly used in handling data and writing scripts.

Both of the cloud offers many similar solutions related to Infrastructure , Platform and Software. So, we do not compare AWS or Azure Data Engineering because it depends on your project requirements, your familiarity with each platform (AWS or Azure), how much it costs, and the tools they offer.

No, Data Engineers and Azure Data Engineers are not the same. These two fields are different. Data Engineers are professionals mainly responsible for designing, constructing, and maintaining systems for managing and processing data.

On the other hand, Azure Data Engineers specifically use Microsoft Azure’s tools in the cloud for these tasks.

  • Continued adoption of cloud-based data solutions such as Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)
  • Increased focus on real-time data processing
  • Advancements in big data technologies, like machine learning and AI integration
  • Use of automation and AI for data pipeline management

If you are new to cloud computing or don’t have any basic idea about cloud computing,still we can help you as Technogeeks Software Training Institute provides Microsoft Azure Training from scratch to an advanced level, making it easier for you to understand the concepts.

As we all know, Microsoft Azure is a cloud services based platform provided by Microsoft. It helps many companies, from startups to MNCs, to run their businesses more affordably by creating, deploying, and managing their tasks on cloud. 

Microsoft Azure is one of the best cloud based solution, which helps organizations to grow in the market. Microsoft Azure uses data centers worldwide to create applications that users need, using APIs in their system. Also, they provide many services which are cost effective and flexible.  

Over 500 Fortune companies have chosen Microsoft Azure because it helps them solve their problems effectively.

Yes, you can learn both AWS and Microsoft Azure. Both are cloud computing platforms, and many people learn both to expand their knowledge and career options. Because many companies are using hybrid cloud based solutions in which more than one cloud platform is used.

So the main difference between Microsoft Cloud and Microsoft Azure is that Microsoft Cloud includes different cloud services like Azure, Microsoft 365, Dynamics 365, and more.

On the other hand, Microsoft Azure gives you different types of services, like Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).

  • Cloud Architect
  • Cloud Engineer
  • DevOps Engineer
  • Solutions Architect
  • Cloud Data Engineer
  • Cloud Product Manager

Note: Salary depends on the Location, Company, Job Role, Experience and most importantly skills. 

Microsoft Azure Certifications Like – 

  • Azure Administrator
  • Azure Developer
  • Azure Solutions Architect


AWS Certifications such as – 

  • AWS Certified Solutions Architect
  • AWS Certified Developer
  • AWS Certified SysOps Administrators 

These certifications help you get a job in Azure or AWS.

Pune, oh, it’s known as the “student’s paradise” for some really good reasons. You see, this city has this amazing blend of rich educational opportunities and a vibrant, youthful culture. 

First off, there are world-class universities and colleges in Pune. The place is like an educational hub. 

You’ve got places like the University of Pune, which is a big name in itself, and then there’s the Film and Television Institute of India (FTII), which is renowned globally for cinema and television education. 

Some of the most visited attractions in Pune are: 

With a student-friendly environment, it’s no wonder they call it a “student’s paradise.” 

Students from all over the country flock to Pune to enroll in various programs. And it’s not just about the University of Pune; there are numerous other institutions that provide a wide range of courses, like Technogeeks

The legacy of education in Pune is truly rich, and that’s why students come here for a promising future.

But Pune isn’t just about academics. Making it a hotspot for professionals, the city offers excellent job opportunities. 

It’s considered the second-largest IT hub in India, so tech enthusiasts find their haven here. 

And let’s not forget the weather. Pune boasts a lovely climate throughout the year, which is quite a relief compared to some other cities with extreme temperatures.

Related Courses

Learning Hadoop can help a Azure Data Engineer for Big Data processing and storage, handling large amounts of unstructured data.

Learning Data Science can help Azure Data Engineer to perform advanced analytics, create predictive models, and build machine learning pipelines for valuable insights from data.

300+ hrs of Assignment and Live training-based program, 50+ Modules, 1-month internship, Real-world projects

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