Name: Azure Data Engineer
Price: 48000 INR
Availability: InStock

Overview

What You'll Learn

Azure Data Engineers are among the most sought-after professionals in India's cloud ecosystem. This program covers the complete Azure data stack — from fundamentals to advanced real-time analytics. You'll build ETL pipelines with Data Factory, process big data with Databricks & Spark, design data warehouses with Synapse Analytics, and prepare for the Microsoft DP-203 certification.

Azure Data Factory — pipelines, data flows & integration runtime
Azure Databricks & PySpark for big data processing
Azure Synapse Analytics & data warehousing
Data Lake, Event Hubs & Stream Analytics for real-time data
DP-203 Azure Data Engineer Associate certification prep

Who Is This For?

Ideal Candidates

→ SQL developers wanting to move to cloud data engineering

→ IT professionals transitioning to Azure cloud roles

→ Data analysts looking to build data pipelines

→ Anyone preparing for Microsoft DP-203 certification

Curriculum

Course Modules

From Azure fundamentals to enterprise data engineering & DP-203 prep

Azure portal navigation & resource management
Resource groups, subscriptions & management hierarchy
Identity & Access Management (IAM)
Azure CLI & PowerShell for automation
Storage accounts — Blob, Table, Queue, File

SQL Server fundamentals & Azure SQL Database
Advanced queries — joins, subqueries, CTEs, window functions
Stored procedures, triggers & transactions
Query optimization & execution plans
Database design, normalization & indexing

Data Factory pipelines & activities
Data flows — mapping & wrangling transformations
Linked services & dataset configuration
Triggers — schedule, tumbling window, event-based
Monitoring, debugging & integration runtime

Databricks workspace setup & cluster management
PySpark — DataFrames, transformations & actions
Spark SQL for structured data processing
Large-scale data processing & optimization
Delta Lake — ACID transactions & time travel

Dedicated SQL pools for data warehousing
Serverless SQL pools for on-demand querying
Data warehouse design — star & snowflake schemas
Synapse pipelines & data integration
Power BI integration & interactive dashboards

Azure Data Lake Storage Gen2 — hierarchical namespace
Event Hubs for real-time data ingestion
Stream Analytics — windowing, aggregations & outputs
Real-time dashboards & alerting
Lambda & Kappa architecture patterns

Azure Purview for data governance & cataloging
Data lineage, classification & sensitivity labels
RBAC, encryption & network security
DP-203 certification preparation & practice tests
Capstone: End-to-end enterprise data platform project

Technologies

Tools & Technologies You'll Master

Azure Portal Azure Data Factory Azure Databricks Apache Spark PySpark Azure Synapse Analytics Azure Data Lake Azure SQL Database SQL Server Power BI Python Delta Lake Azure DevOps Event Hubs Stream Analytics Azure Purview

Projects

Hands-On Projects

Real-world enterprise data engineering scenarios

Enterprise Data Warehouse

End-to-end data warehouse with Azure Synapse, star schema design, ETL pipelines & Power BI dashboards.

Real-Time Streaming Pipeline

Event Hubs ingestion to Stream Analytics, processing live IoT data with real-time dashboards.

Data Lake Analytics Platform

Multi-source data lake with Bronze/Silver/Gold architecture using Databricks & Delta Lake.

ETL Pipeline with Data Factory

Automated data integration from multiple sources with error handling, monitoring & scheduling.

Career

Career Outcomes

Roles our graduates land after completing this program

Azure Data Engineer ETL Developer Cloud Data Engineer BI Developer Data Platform Engineer Databricks Developer

Average Salary Range: ₹8–25 LPA

FAQs

Frequently Asked Questions

No, Module 1 covers Azure fundamentals from scratch. Basic SQL knowledge helps but we cover that too in Module 2.

Yes. The curriculum aligns with the Microsoft DP-203 Azure Data Engineer Associate exam. We provide practice tests and mock exams to help you clear the certification.

Yes, Module 4 is entirely dedicated to Azure Databricks and Apache Spark for large-scale data processing. You'll work with PySpark, Spark SQL, and Delta Lake.

Very high. India has 10,000+ open positions for Azure Data Engineers. Pune's IT parks actively hire for these roles, and the demand continues to grow as more enterprises migrate to Azure.

Yes, you'll use Python/PySpark extensively for data processing in Databricks and data transformation tasks. Python is essential for modern data engineering workflows.

Yes. We offer flexible EMI options. Contact our admissions team at +91 94227 61663 for details on payment plans.

Azure Data Engineer