124 Lessons Across 15 Data Engineering Modules
The curriculum covers Python, advanced SQL, Linux, data warehousing, ETL, Spark, Azure Data Factory, Databricks, Snowflake, Microsoft Fabric, Kafka, Power BI, Git, AI, and a capstone project.
LIVE, TRAINER-LED LEARNING
Azure Data Engineer Certification Training in Electronic City Bangalore
Learn to design and build cloud data pipelines with Azure Data Engineer training in Electronic City Bangalore. Cover Python, advanced SQL, Apache Spark, Azure Data Factory, Databricks, Snowflake, and Power BI across 15 modules and 124 live lessons.
60 HoursAdvancedOnline & ClassroomEnglishCompletion certificate
- Write Python programs using functions, modules, exception handling, and object-oriented concepts
- Work with JSON, XML, and collections for data processing tasks
- Write advanced SQL using joins, subqueries, CTEs, window functions, and stored procedures
BUILD YOUR FOUNDATIONS
Azure Data Engineer Certification Training in Electronic City Bangalore
Data engineers who can build reliable cloud pipelines are in demand across Bangalore's analytics teams. This Azure Data Engineer course in Electronic City Bangalore gives you that practical skill set over 60 hours of live instruction. You work through Python, advanced SQL, Linux scripting, data warehousing, ETL development, Apache Spark, Azure Data Factory, Databricks, Snowflake, Microsoft Fabric, Kafka, and Power BI. The course runs in both classroom and online modes, and the syllabus is built around real data engineering workflows rather than isolated theory.
Big data and cloud services
The Apache Spark and PySpark module teaches Spark architecture, RDDs, DataFrames, Spark SQL, transformations and actions, joins, aggregations, partitioning, and performance optimization. The Azure Data Engineering module covers Azure fundamentals, storage, virtual machines, networking, Azure Data Factory pipelines, linked services, integration runtime, data flow, triggers, monitoring, Azure Data Lake Storage Gen2, file management, and security. The Azure Databricks module covers workspace, clusters, notebooks, Delta Lake, Unity Catalog, Spark jobs, data processing, and optimization. The Snowflake module covers architecture, databases, schemas, warehouses, data loading, Snowpipe, streams, tasks, time travel, cloning, data sharing, and performance optimization. The Microsoft Fabric module covers OneLake, Lakehouse, Data Factory, Data Engineering, Data Warehouse, Real-Time Analytics, and Power BI integration. The Kafka module covers architecture, producers, consumers, topics, partitions, Kafka Connect, and streaming basics. The Power BI module covers Desktop, Power Query, data modeling, DAX, dashboards, reports, publishing, and row-level security. The Git and Azure DevOps module covers Git basics, GitHub, branching, pull requests, Azure Repos, Azure Pipelines, and CI/CD. The AI module covers generative AI fundamentals, prompt engineering, GitHub Copilot, AI-assisted SQL, AI-assisted Python, AI-assisted ETL development, introduction to LLMs, and RAG basics. If you are comparing data courses, this page focuses on engineering and pipeline building. If your goal is data analytics and visualisation rather than pipeline engineering, our Data Analytics course covers a different scope.
Certificate and vendor exam
On completion, you receive a course completion certificate from eMexo Technologies. This is not a Microsoft certification. Microsoft retired the DP-203 Azure Data Engineer Associate exam on March 31, 2025. The closest current replacement is the DP-700 Fabric Data Engineer Associate exam . Our course syllabus covers Azure Data Factory, Databricks, and Fabric, which are relevant to current data engineering roles. If you need a Microsoft credential, ask our counsellor about DP-700 preparation options.
What you’ll learn
- Write Python programs using functions, modules, exception handling, and object-oriented concepts
- Work with JSON, XML, and collections for data processing tasks
- Write advanced SQL using joins, subqueries, CTEs, window functions, and stored procedures
- Optimize SQL queries and tune database performance
- Automate tasks using Linux shell scripting and cron jobs
- Design data warehouse schemas using star and snowflake models
- Implement ETL pipelines with incremental loads and change data capture
- Process large datasets using Apache Spark and PySpark DataFrames
- Build data pipelines in Azure Data Factory with linked services, integration runtime, and triggers
- Work with Azure Databricks, Delta Lake, and Unity Catalog
- Load and transform data in Snowflake using Snowpipe, streams, and tasks
- Build Power BI dashboards and reports with DAX and row-level security
Before you start
- Basic programming knowledge in any language (Python module starts from fundamentals)
- Understanding of basic database concepts
- Familiarity with using a computer and command line
- Access to a laptop and internet connection for online or classroom lab work
- No prior Azure or big data experience required
Upcoming online & classroom batches
New batch dates are being confirmed. Request a demo to discuss your availability.
Can’t find a batch that works for you?
Tools Covered
Python
Apache Spark and PySpark
Azure Data Factory
Azure Data Lake Storage Gen2
Azure Databricks
Power BI
Git
Azure DevOps
GitHub Copilot
Apache Kafka
Microsoft Fabric
Snowflake
Who should take Azure Data Engineer Course?
Career Roles After Azure Data Engineer Training
The Azure Data Engineer syllabus builds skills for data engineering and pipeline development roles. The salary ranges below are market data for Bangalore. Entry into data engineering roles typically requires prior programming or SQL experience. Actual offers depend on your background, projects, and interview performance. eMexo Technologies does not guarantee placement or salary.
Designations
Min
Average
Max
Amazon
HP
ORACLE
TATA
TCS
Tech Mahindra
ZOHO
Hiring Companies
Min
Average
Max
- Amazon
Deloitte
Google- HP
IBM
Infosys
Microsoft
accenture
Hiring Companies
Min
Average
Max
- Amazon
- Google
- Deloitte
- Infosys
- IBM
- HP
- Microsoft
- Tech Mahindra
- ZOHO
- accenture
capgemini
Hiring Companies
Min
Average
Max
- accenture
WELLS FARGO- Google
- Microsoft
- Amazon
- Deloitte
Hiring Companies
Min
Average
Max
- Amazon
- Google
- Deloitte
- HP
- IBM
- Microsoft
- WELLS FARGO
- ZOHO
- capgemini
- accenture
Hiring Companies
What’s included?
Capstone Cloud Project Included
Module 15 is a dedicated end-to-end project covering source systems, ingestion, Data Factory, Data Lake, Databricks, Snowflake, Power BI, deployment, and monitoring.
Big Data Processing with Spark and Databricks
You work with Spark architecture, RDDs, DataFrames, Spark SQL, partitioning, and performance optimization in Azure Databricks with Delta Lake and Unity Catalog.
Modern Data Stack Coverage
The course includes Snowflake, Microsoft Fabric, and Apache Kafka alongside Azure Data Factory, giving you exposure to tools used across modern data platforms.
AI-Assisted Data Engineering
Module 14 covers generative AI fundamentals, prompt engineering, GitHub Copilot, AI-assisted SQL, AI-assisted Python, AI-assisted ETL development, LLMs, and RAG basics.
Core Programming and SQL Foundation
Before moving to big data tools, you build strong programming fundamentals. The first modules cover Python, object-oriented concepts, advanced SQL with window functions, and Linux shell scripting for data workflows.
YOUR LEARNING PATH
Course curriculum
01Programming with Python10 topics
- Python FundamentalsLive Class
- Data Types & VariablesLive Class
- Operators & Control StatementsLive Class
- Functions & ModulesLive Class
- File HandlingLive Class
- Exception HandlingLive Class
- OOP ConceptsLive Class
- Regular ExpressionsLive Class
- CollectionsLive Class
- Working with JSON & XMLLive Class
02Advanced SQL11 topics
- SQL BasicsLive Class
- JoinsLive Class
- Sub QueriesLive Class
- CTELive Class
- Window FunctionsLive Class
- Stored ProceduresLive Class
- FunctionsLive Class
- ViewsLive Class
- IndexesLive Class
- Query OptimizationLive Class
- Performance TuningLive Class
03Linux & Shell Scripting7 topics
- Linux CommandsLive Class
- File ManagementLive Class
- PermissionsLive Class
- Shell ScriptingLive Class
- Cron JobsLive Class
- Process ManagementLive Class
- Automation ScriptsLive Class
Need the complete curriculum?
PUT IT INTO PRACTICE
Projects you’ll work on
Build an ETL Pipeline with Azure Data Factory and Data Lake Storage
Create an Azure Data Factory pipeline that ingests data from a source system into Azure Data Lake Storage Gen2, applies transformations using Data Flow, and loads the processed data into a target store.
Process Streaming Data with Apache Kafka and Spark Structured Streaming
Set up a Kafka topic, produce sample event data, and consume it using PySpark Structured Streaming in Databricks. Write the processed output to Delta Lake.
Build a Data Warehouse in Snowflake with Streams and Tasks
Create databases, schemas, and warehouses in Snowflake. Load data using Snowpipe, implement streams for change tracking, and schedule tasks for incremental processing.
Create a Power BI Dashboard from Azure Databricks Data
Connect Power BI to Azure Databricks, build a data model with DAX measures, create reports, and configure row-level security for different user roles.
Hiring partners for Azure Data Engineer Course
Amazon
CHIMERADeloitteHPGoogleIBMMicrosoft
InnovitiInfosys
NEXTGEN AIORACLETATATCSTech Mahindra
ubq technologies
WiproWELLS FARGOaccenturecapgeminiZOHORECOGNISE YOUR PROGRESS
Gain a course completion certificate
On completing the 60-hour training, eMexo Technologies issues a Training Completion Certificate confirming your completion of the Azure Data Engineer syllabus-based training program. This is a course completion document issued by the training institute, not an official Microsoft certification. eMexo Technologies does not claim to be authorized by Microsoft. Microsoft retired the DP-203 Azure Data Engineer Associate exam on March 31, 2025. Microsoft Fabric Data Engineer Associate (DP-700) is a separate certification pathway. Our training covers Azure Data Factory, Databricks, and Microsoft Fabric, which are relevant technologies for data engineering roles. Please verify the latest exam and certification details through Microsoft Learn before publishing. Specific completion requirements, such as minimum attendance, assessment pass marks, and project submission, are not stated in our published materials and must be confirmed with the institute before publishing.
LEARN WITH GUIDANCE
Your instructor
Kiran
Kiran is a senior Microsoft-certified trainer with 12+ years of enterprise IT experience. He specializes in Azure Data Engineering, Azure Solutions Architecture, Microsoft Identity (SC-300), Microservices, and Cloud Security. Having successfully trained over 1,500 batches, Kiran bridges the gap between theory and real-world application. His expert mentorship prepares learners to clear top Microsoft certifications (AZ-104, AZ-204, AZ-305, AZ-900, AZ-700, AZ-400, AZ-140) and build scalable cloud solutions.
A SIMPLE START
How to join
- 01
Tell us about your goals
Send an enquiry or application so we can understand your interests.
- 02
Discuss the course and schedule
Review the curriculum, prerequisites, learning format, and fees with our team.
- 03
Confirm your batch
Choose a suitable batch and complete enrolment with our admissions team.
PLAN YOUR NEXT STEP
Course fees
Get the current fees, available batches, and enrolment details from our team.
LEARNER EXPERIENCES
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YOUR QUESTIONS, ANSWERED
Frequently asked questions
Does this course prepare me for a Microsoft certification?
The course covers Azure Data Factory, Databricks, and Microsoft Fabric, which are relevant to Microsoft data engineering credentials. However, Microsoft retired the DP-203 Azure Data Engineer Associate exam on March 31, 2025. The closest current replacement is the DP-700 Fabric Data Engineer Associate exam . Our course completion certificate is separate from any Microsoft credential. If you need a Microsoft certification, ask our counsellor about DP-700 preparation options.
How is this course different from your Data Analytics course?
How is this course different from your Data Analytics course? Answer: The Data Analytics course focuses on visualisation, reporting, and statistical analysis using tools like Power BI and Excel. This Azure Data Engineer course focuses on building data pipelines, ETL processes, and large-scale data processing using Python, SQL, Spark, Azure Data Factory, Databricks, and Snowflake. The job roles are different. If you want to build and maintain data infrastructure, this is the right course. If you want to analyse data and create dashboards, choose the analytics track.
Does the syllabus cover the full data engineering workflow?
Yes. Modules 1 through 3 cover programming and database foundations. Module 4 covers data warehousing concepts. Module 5 covers ETL development. Modules 6 through 11 cover Spark, Azure Data Factory, Databricks, Snowflake, Microsoft Fabric, and Kafka. Module 12 covers Power BI. Module 13 covers Git and DevOps. Module 14 covers AI-assisted development. Module 15 is a capstone project that ties everything together into an end-to-end pipeline.
Can I attend this course online if I cannot come to Electronic City?
Yes. The course runs in both classroom and online modes. Online learners join the same live 45-minute sessions and complete the same lab tasks. You need a laptop and access to Azure and Databricks environments for lab work
What certificate will I receive after finishing?
You receive a course completion certificate from eMexo Technologies. This confirms your participation in the 60-hour Azure Data Engineer syllabus training. It is not a Microsoft certification. The course covers tools and services used in data engineering roles, but the certificate is from eMexo, not Microsoft.
FAQs
Why Choose Us ?
124 Lessons Across 15 Data Engineering Module
The curriculum covers Python, advanced SQL, Linux, data warehousing, ETL, Spark, Azure Data Factory, Databricks, Snowflake, Microsoft Fabric, Kafka, Power BI, Git, AI, and a capstone project.
Capstone Cloud Project Included
Module 15 is a dedicated end-to-end project covering source systems, ingestion, Data Factory, Data Lake, Databricks, Snowflake, Power BI, deployment, and monitoring.
Big Data Processing with Spark and Databricks
You work with Spark architecture, RDDs, DataFrames, Spark SQL, partitioning, and performance optimization in Azure Databricks with Delta Lake and Unity Catalog.
Modern Data Stack Coverage
The course includes Snowflake, Microsoft Fabric, and Apache Kafka alongside Azure Data Factory, giving you exposure to tools used across modern data platforms.
AI-Assisted Data Engineering
Module 14 covers generative AI fundamentals, prompt engineering, GitHub Copilot, AI-assisted SQL, AI-assisted Python, AI-assisted ETL development, LLMs, and RAG basics.
Transparent Fee Structure
Course fee is listed at ₹35,000 with a discounted price of ₹20,000 [confirm offer deadline]. No hidden costs.
Resume and Interview Preparation
Get guidance on presenting your data engineering projects in your resume, with mock interview practice focused on pipeline and ETL scenarios.
Job Assistance Support
Receive help with job preparation, resume review, and interview readiness for data engineering and analytics roles.