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

The Data Engineering 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 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: 1600+ 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 Datawarehouse

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

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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.

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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

4.8 rating by more than 1600+ reviewers on Google!


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