Best Azure Data Engineer Training in Hyderabad with Microsoft Fabric
Learn SQL, Azure Data Lake, Azure Data Factory, PySpark with Azure Databricks, Synapse Analytics, Power BI and Microsoft Fabric — with DP-700 certification preparation and 3 real-time projects, in Ameerpet or live online.
G4.7★★★★★on Google- Duration
- 3 Months
- Mode
- Online & Classroom
- Batches
- Weekday & Weekend
- Hands-on
- 3 real-time projects
Quick Enquiry
Get a free demo session today!
One course, one complete Azure data pipeline
- Azure SQLSource & modeling
- Data Lake Gen2Bronze • Silver • Gold
- Azure Data FactoryPipelines & ETL/ELT
- PySpark + DatabricksBig data transforms
- Synapse AnalyticsData warehouse
- Power BIDashboards
- 3
- Months
- 17
- Modules
- 7
- Tools
- 3
- Real-time projects
DP-203 Is Retired — Learn for the New DP-700 Certification
Many courses still teach for the old DP-203 exam. Microsoft retired it and replaced it with the DP-700 certification (Fabric Data Engineer Associate), which is built around Microsoft Fabric. Companies still run ADF, Databricks and Synapse in production, and new projects are moving to Fabric — so employers want data engineers who know both. That is why this course teaches the classic Azure stack and then adds a full Microsoft Fabric online training module with OneLake, Lakehouse, Warehouse, data pipelines, Dataflows Gen2, Spark notebooks and Direct Lake.
Module 16 prepares you for the DP-700 certification and the PL-300 Power BI Data Analyst exam, together with real interview questions and scenarios.
Azure Data Engineer Training with Microsoft Fabric
Looking for the best Azure Data Engineer training in Hyderabad? At VR IT Solutions you learn the full Azure data stack the way real projects use it — SQL, Azure Data Lake, Azure Data Factory, PySpark with Azure Databricks, Synapse Analytics and Power BI — and then build it again on Microsoft Fabric. Classes run in Ameerpet and live online, for 3 months, with three real-time projects.
- Interview support & resume preparation
- Interview referrals until you get placed
- Real-time job support after you join a company
What You Do With Each Tool
Joins, CTEs, window functions, star schema and SCD Type 2 — the base of every data engineering interview.
Organise raw and clean data in bronze, silver and gold layers with the right security.
Metadata-driven pipelines, incremental loads, triggers, error handling and CI/CD.
DataFrames, joins, window functions and performance tuning on large data — hands-on PySpark training from basics to advanced.
Clusters, notebooks, Delta Lake, Unity Catalog, Auto Loader and jobs run from ADF.
Dedicated and serverless SQL pools, Spark pools, pipelines and COPY INTO.
Power Query, data models, DAX, dashboards, row-level security and scheduled refresh.
OneLake, Lakehouse, Warehouse, Dataflows Gen2, shortcuts, mirroring and Direct Lake.
Azure Data Engineer Course Syllabus
17 modules over 3 months: data engineering basics, SQL from basics to advanced, Azure fundamentals, Data Lake, Azure Data Factory, Python, PySpark, Azure Databricks, Synapse Analytics, Power BI, Microsoft Fabric, governance and monitoring, DP-700 preparation and three real-time projects.
- What is data engineering and the role of a data engineer
- OLTP vs OLAP, data warehouse, data lake and lakehouse
- ETL vs ELT, batch vs streaming
- File formats: CSV, JSON, Parquet, Avro and Delta
- Modern Azure data platform overview
- Databases, tables, data types and constraints
- SELECT, WHERE, ORDER BY, GROUP BY and HAVING
- INSERT, UPDATE, DELETE and MERGE
- Joins: inner, left, right, full and self joins
- Subqueries and Common Table Expressions (CTEs)
- Window functions: ROW_NUMBER, RANK, DENSE_RANK, LEAD and LAG
- Views, stored procedures and functions
- Indexes and query performance tuning
- Transactions and error handling
- Data modeling: star schema, snowflake schema, fact and dimension tables
- Slowly Changing Dimensions (SCD Type 1 and Type 2)
- Azure account, subscriptions and resource groups
- Azure portal, Azure CLI and Cloud Shell
- Microsoft Entra ID, RBAC and managed identities
- Azure Key Vault for secrets
- Azure SQL Database setup and connectivity
- Storage accounts and hierarchical namespace
- Containers, folders and access tiers
- Medallion architecture: bronze, silver and gold layers
- Access control: RBAC, ACLs and SAS tokens
- Lifecycle management and data organization best practices
- ADF architecture: pipelines, activities, datasets and linked services
- Integration runtimes: Azure, self-hosted and SSIS
- Copy activity from on-premise, SQL and files to Data Lake
- Pipeline parameters, variables and expressions
- Triggers: schedule, tumbling window and storage event
- Control flow: Lookup, Get Metadata, ForEach, If Condition and Until
- Metadata-driven and dynamic pipelines
- Incremental loads with watermark and change data capture
- Mapping Data Flows for code-free transformations
- Error handling, retries, logging and alerts
- CI/CD for ADF with Git and Azure DevOps
- Python basics: variables, data types, conditions and loops
- Lists, dictionaries, functions and modules
- File handling and working with JSON and CSV
- Pandas basics for data analysis
- Apache Spark architecture: driver, executors and cluster
- RDDs vs DataFrames
- Reading and writing CSV, JSON and Parquet
- Transformations and actions
- Select, filter, withColumn, groupBy and aggregations
- Joins and handling nulls
- Window functions in PySpark
- User-defined functions (UDFs)
- Spark SQL and temporary views
- Partitioning, caching and broadcast joins
- Performance tuning and optimization
- Databricks workspace, clusters and notebooks
- Connecting Databricks to Data Lake with secure access
- Delta Lake: ACID transactions, time travel, MERGE and schema evolution
- Unity Catalog for data governance
- Auto Loader and Structured Streaming basics
- Databricks Jobs and workflows
- Running Databricks notebooks from ADF
- Synapse workspace and architecture
- Dedicated SQL pools: distribution, partitioning and loading data
- Serverless SQL pools for querying the Data Lake
- Spark pools in Synapse
- Synapse pipelines
- PolyBase, COPY INTO and external tables
- Power BI Desktop, Service and the report workflow
- Connecting to Azure SQL, Synapse and Data Lake
- Power Query for data cleaning and transformation
- Data modeling and relationships
- DAX: calculated columns, measures and time intelligence
- Visuals, slicers, drill-through and dashboards
- Publishing, workspaces, sharing and row-level security
- Scheduled refresh and gateway setup
- What is Microsoft Fabric and OneLake
- Fabric workspaces and capacities
- Lakehouse and Data Warehouse in Fabric
- Data pipelines and Dataflows Gen2
- Spark notebooks in Fabric
- Shortcuts and mirroring
- Real-Time Intelligence overview
- Direct Lake mode with Power BI
- Copilot in Fabric and Power BI
- Microsoft Purview for data catalog and lineage
- Securing data with Key Vault, managed identities and private endpoints
- Monitoring ADF, Databricks and Synapse with Azure Monitor
- Cost optimization for data workloads
- Common Azure Data Engineering interview questions and real-time scenarios
- Microsoft Fabric Data Engineer (DP-700) and Power BI Data Analyst (PL-300) certification preparation
- Resume and project explanation tips
- Sales data lakehouse: Load data from Azure SQL and files into Data Lake with metadata-driven ADF pipelines, transform it with PySpark in Databricks using the medallion architecture and Delta Lake, and build a Power BI sales dashboard
- Synapse data warehouse: Incremental loads with watermark into Synapse dedicated SQL pool, star schema with SCD Type 2, and Power BI reports with row-level security
- End-to-end Microsoft Fabric project: Ingest data into a Fabric Lakehouse with data pipelines, clean it with Spark notebooks, model it in the Fabric Warehouse and publish a Direct Lake Power BI report
Real-Time Azure Data Engineering Projects
Azure SQL and files → Data Lake with metadata-driven ADF pipelines → PySpark in Databricks with the medallion architecture and Delta Lake → Power BI sales dashboard.
Incremental loads with watermark into a Synapse dedicated SQL pool, star schema with SCD Type 2, and Power BI reports with row-level security.
Data pipelines into a Fabric Lakehouse, Spark notebooks for cleaning, Fabric Warehouse modeling and a Direct Lake Power BI report.
Who Should Join This Course?
SQL, ETL & BI Developers
SSIS, Informatica or reporting developers moving to cloud data engineering.
Freshers & Career Changers
Graduates with basic SQL or Python who want a data engineering role. We start from the basics.
Data Analysts
Analysts who know Excel, SQL or Power BI and want to build the pipelines behind the reports.
Working Data Engineers
Engineers on ADF or Databricks who want to add Microsoft Fabric and the DP-700 certification.
Career Opportunities After the Course
Course Fee and Batches
The Azure Data Engineer course fee depends on the batch type and current offers. Call +91 90327 34343 or WhatsApp us for the exact fee and the next batch date.
Choose classroom training at our Ameerpet centre or live online classes, with weekday and weekend batches. Students outside Hyderabad can take the full course, including the Microsoft Fabric online training module, live online. Online students in the USA, UK, Canada and Australia get time slots that suit their time zone.
Why We Offer the Best Azure Data Engineer Training in Hyderabad
Classic Azure + Microsoft Fabric in One Course
You learn ADF, Databricks and Synapse used in current projects, and Microsoft Fabric used in new ones — the combination employers ask for.
Real-Time Projects, Not Just Demos
Three end-to-end projects you can explain in interviews, from source data to Power BI dashboards. The PySpark training runs on real Databricks clusters, not just slides.
Certification and Interview Preparation
DP-700 and PL-300 preparation, real interview questions and scenarios, resume and project explanation tips.
Placement Assistance and Job Support
Interview support, resume preparation and referrals until you get placed, and real-time job support after you join.
From your first class to your first project at work
We stay with you after the course ends — through interviews, placement, and your first months on the job.
- Free demo classMeet the trainer and see how classes run before you pay.
- Live trainingOnline or classroom at Ameerpet, with hands-on practice every session.
- Real-time projectWork through a real implementation scenario from start to finish.
- Course certificateGet your course completion certificate from VR IT Solutions.
- Resume & mock interviewsResume review and practice interviews with experienced professionals.
- Placement assistanceInterview referrals and guidance until you get placed.
- Job supportStuck on a task in your new job? Our trainers help you solve it.
What our students say on Google
G4.7★★★★★See all reviews on GoogleHi I'm Dasararh
I have Join VRIT Solutions to transform my future. VRIT is the right place to sharpen your Salesforce training skills while gaining cutting-edge experience through real time examples and live projects. Faculty covered in real time examples and practical oriented I joined this course in 2025 and now working in a reputed healthcare company.I would strongly recommended to chose VR IT Solutions for Salesforce online training .
Thanks again for VR IT .
One of the top institutes for training, with faculty member Ashok Kumar being highly knowledgeable in the subject.
VR IT Solutions is one of the best training center for Clinical SAS in Hyderabad.I recently completed SAS training at VR IT Solutions, and it was an excellent experience...
The course covered Base SAS, SQL, Macros, and SDTM/ADaM mapping basics, especially for advanced topics like SAS Macros, making complex concepts easy to understand. which are extremely valuable for anyone aiming to build a career in Clinical SAS programming.
I highly recommend VR IT Solutions to anyone looking to build or advance their SAS career.
Preparing for Azure Data Engineer interviews?
Read free interview questions and real-time scenarios with answers. Our students get all 28+ in the Job Ready Hub.
Batch timings
Pick a slot that fits around college or work. New batches start every month.
Book your slot- Morning7 – 9 AM
- Afternoon12 – 2 PM
- Evening6 – 8 PM
- WeekendSat & Sun
- Fast trackOn request
- One-to-one training
- Backup classes
- Free resume preparation
- Mock interviews
- Job support
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Get your course completion certificate
- Issued by VR IT Solutions when you complete the course and the real-time project
- Every certificate has its own certificate ID
- Add it to your resume and LinkedIn profile
Azure Data Engineer Online Training in USA, UK & Canada
Looking for Azure Data Engineer online training from the USA, UK or Canada? Join our live online batches from anywhere — classes run in time slots that suit your time zone, every session is recorded for revision, and you get the same real-time project, certificate and placement support as our Hyderabad students.
- USAEST & PST evening slots
- UKGMT / BST slots
- CanadaEST & CST slots
- WeekendSat & Sun, all time zones
Visit our Ameerpet centre
- 506/A, Aditya Enclave, Nilagiri Block, 5th Floor, Ameerpet, Hyderabad – 500016
- Monday to Saturday, 9 AM – 7 PM
- +91 90327 34343
- info@vritsol.com
Azure Data Engineer Training FAQs | VR IT Solutions
SQL, Azure Data Lake Storage Gen2, Azure Data Factory, Python, PySpark, Azure Databricks, Synapse Analytics, Power BI and Microsoft Fabric, plus governance and monitoring, DP-700 preparation and three real-time projects, in 17 modules over 3 months.
Yes. A full module covers Microsoft Fabric: OneLake, Lakehouse and Warehouse, data pipelines, Dataflows Gen2, Spark notebooks, shortcuts, mirroring and Direct Lake with Power BI, and Project 3 is built end to end on Fabric.
Yes. Microsoft replaced DP-203 with DP-700 (Fabric Data Engineer Associate). Module 16 covers DP-700 and PL-300 preparation along with real interview questions and scenarios.
Yes. Two modules cover PySpark from DataFrames, joins and aggregations to window functions, UDFs, Spark SQL and performance tuning, and you run it on Azure Databricks with Delta Lake.
The course runs for 3 months, with classroom training at our Ameerpet centre and live online classes, in weekday and weekend batches.
No. The course starts with data engineering basics, SQL and Python, so freshers and career changers can join. Basic computer knowledge is enough.
Yes. You get 100% placement assistance — interview support, resume preparation, mock interviews and referrals until you get placed — and real-time job support after you join.
Absolutely. VR IT Solutions offers free demo sessions for all courses. You can attend a live class, interact with the trainer, and get a feel for the training quality before making any commitment. Just reach out to our team and we will schedule one for you.
We provide end-to-end placement assistance — from building a job-ready resume to conducting mock interviews with industry experts. Our team actively shares job openings, refers students to hiring companies, and supports you until you land your first role.
Yes. Every trainer at VR IT Solutions has between 8 and 13 years of hands-on industry experience. They have worked on real enterprise projects and bring that practical knowledge directly into the classroom, which makes a significant difference when you face real job interviews.
Course Training
Industry-certified · Real-time projects · 100% Placement Support
Call us: +91-9032734343