Azure Data Engineer Training

Azure Data Factory • ADLS • Azure SQL • Databricks • Synapse • PySpark

Build practical Azure Data Engineering skills through training in Azure Data Factory, Data Lake Storage, Azure SQL, Databricks, Synapse, Spark, PySpark, and Delta Lake. Learn to create data pipelines, integrate Azure services, transform data, monitor jobs, and work with real-time data engineering scenarios.

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Batch Details & Schedule

Choose a learning format and schedule that fits your lifestyle

Next Batch Starts

10th Sep 2026

Session Time

09:00 AM to 10:00 AM

Course Duration

2-3 months

Course Features & Highlights

Everything you need to build practical API testing skills

Live Projects

Work on real-world projects from day one with industry use cases

Expert Trainers

Learn from industry professionals with 10+ years of experience

100% Placement Support

Dedicated placement cell with assistance until you get hired

Industry Certification

Get certified and boost your resume with recognized credentials

LMS Access

Access to learning materials and recorded sessions

Mock Interviews

Weekly mock interviews to prepare you for real job scenarios

Resume Building

Professional resume preparation and LinkedIn profile optimization

Soft Skills Training

Communication, aptitude, and personality development sessions

Additional Benefits

●   Pay After Placement Options Available

●   Flexible Payment Plans

●   6-12 Months LMS Access

●   Doubt Clearing Sessions

●   24/7 Learning Support

●   Mega Job Drives

Your Path to Mastery

Comprehensive training designed to accelerate your career

Exclusive Training

1.5-3 hrs/day

Best for: Beginners & learners

Complete Course Curriculum

Comprehensive modules covering Azure Data Factory, ADLS, Azure SQL, Databricks, Synapse, PySpark, and data engineering

Basics of Cloud Computing
  • What is Cloud Computing?
  • Private, Public & Hybrid Cloud
  • IaaS, PaaS & SaaS
  • What is Data & Big Data?
  • Structured, Semi-Structured & Unstructured Data
  • Data Warehouse & Data Warehouse Architecture
  • Big Data Sources & Characteristics
  • Volume, Velocity, Variety, Veracity & Value
  • Create an Azure Account
  • Azure Portal Overview
  • Subscriptions & Resource Groups
  • Blob Storage & Data Lake Storage
  • Azure SQL Server & Database
  • Azure Data Factory
  • Create Storage & ADLS Accounts
  • Configure Access to ADLS
  • Load Data to ADLS
  • Read & Write Data
  • Backup & Disaster Recovery
  • Create Azure SQL Server & Database
  • Elastic Pools
  • Compute Resources
  • Access & Security
  • Connect Azure SQL with Data Factory & Databricks
  • Data Factory UI & Components
  • Integration Runtime
  • Linked Services & Datasets
  • Pipelines & Activities
  • Parameters & Variables
  • Triggers
  • Data Flows & Transformations
  • Monitoring & Debugging
  • Logic Apps & Key Vault Integration
  • GitHub & ARM Templates
  • Databricks Workspace & Clusters
  • Databricks Notebooks
  • Spark Architecture
  • RDD, DataFrame & Dataset
  • DBFS & dbUtils
  • External Resource Integration
  • Delta Lake
  • Optimization Techniques
  • Python Fundamentals
  • PySpark Introduction
  • Read & Write CSV, JSON, Parquet, SQL & ADLS Data
  • Data Transformations
  • Joins, Unions & Aggregations
  • Window, String & Date Functions
  • Conditional Statements & Loops
  • User-Defined Functions
  • Spark SQL
  • Synapse Architecture
  • Create & Configure Synapse
  • Serverless & Dedicated SQL Pools
  • Apache Spark Pool & Data Explorer Pool
  • Synapse with ADLS
  • External Tables & Views
  • Synapse Transformations
  • Delta Lake Integration
  • Power BI Integration
  • =
  • Real-Time Azure Data Factory Scenarios
  • Dynamic Pipelines & Parameters
  • Incremental Data Loading
  • Pipeline Monitoring & Logging
  • Failure Notifications & Alerts
  • Scheduling & Tumbling Window Triggers
  • Git & DevOps Integration
  • Real-Time Databricks Scenarios

Comprehensive API Testing Program

Postman • REST Assured • Automation • CI/CD • AI-Powered Testing

Prerequisites & Eligibility

Everything you need to get started with Azure Data Engineering

  • Interest in working with data pipelines and data transformation
  • Willingness to learn Azure Data Factory, Databricks, Synapse, and PySpark
  • Basic understanding of data concepts is helpful
  • Interest in cloud computing and data engineering
  • Willingness to learn Azure data services

Special Note: The program covers Azure Data Engineering from cloud and Big Data fundamentals through Azure Data Factory, ADLS, Azure SQL, Databricks, PySpark, Synapse, Delta Lake, data transformations, monitoring, and real-time data engineering scenarios.

Why Choose Quality Thought

Your success is our priority. Here’s what makes us the best choice for your career growth

17+

Years Experience

10,000+

Students Trained

500+

Hiring Partners

95%

Placement Rate

17+ Years of Excellence

Established training institute with proven track record of producing industry-ready professionals

Expert Faculty

Learn from trainers with 10+ years of real-world industry experience in leading tech companies

100% Placement Assistance

Dedicated placement cell with tie-ups with 500+ companies. We support you until you get hired

Comprehensive Curriculum

Updated syllabus covering latest technologies and industry best practices with hands-on projects

Career Growth Focus

Not just training, but complete career transformation with soft skills and interview preparation

Pay After Placement

Flexible payment options including pay after placement for eligible candidates

Flexible Batches

Multiple batch timings to suit working professionals, students, and freshers

Live Project Experience

Work on real client projects during internship at Ramana Soft IT company

We provide innovative placement solutions with direct access to hiring companies, paid internship programs, and comprehensive training that transforms freshers into job-ready professionals. Our proven methodology has helped thousands launch successful tech careers.

Certification

Get industry-recognized certification that validates your skills and boosts your career prospects

Certificate of Completion

Azure Data Engineer

This certifies that

[Your Name]

has successfully completed the

Azure Data Engineer

Training Program

Quality Thought

Ameerpet, Hyderabad

Certificate ID

QT-2024-XXXX

Industry Recognition

Our certificates are recognized by leading companies and add credibility to your resume

Skill Validation

Proves your expertise in API Testing, Postman, REST Assured, and API automation

Career Advancement

Increases your chances of getting hired and helps in salary negotiations

Digital & Physical

Get both digital certificate for online sharing and physical certificate for framing

Course Certificate

Upon successful completion of training program

Internship Certificate

For I&I program from Ramana Soft IT Company

Project Certificate

For major projects completed during training

Ready to Build Your Career in Azure Data Engineering?

Build practical Azure Data Engineering skills with Azure Data Factory, ADLS, Azure SQL, Databricks, Synapse, PySpark, and Delta Lake. Learn to create data pipelines, transform data, integrate Azure services, and work with real-time data engineering scenarios.

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