Become a Data
Engineering
Professional
Master the tools, technologies, and skills needed to succeed in the high-demand field of Data Engineering. Comprehensive curriculum with job guarantee.
Program Highlights:
✔Comprehensive 10-module curriculum
✔Hands-on real-world projects
✔Expert instruction and mentorship
✔Interview preparation and career coaching
✔100% job guarantee with placement assistance
Why Choose Data Engineering School?
We provide a comprehensive, industry-focused education that prepares you for real-world success in the data engineering field.
Industry-Relevant Curriculum
Our curriculum is designed in collaboration with industry
experts to focus on in-
demand skills and
technologies.
Hands-On Learning
Build real-world projects that
you can add to your portfolio,
with hands-on practice for
every concept.
Comprehensive Coverage
From Python fundamentals to advanced cloud architectures, our program covers the full spectrum of data engineering.
Job Guarantee
We stand behind our program with a job guarantee, including interview prep and personalized career coaching.
Comprehensive Curriculum
Our curriculum is designed to transform beginners into industry-ready data engineers through a structured learning path.
Module 1: Python for Data Engineering
- Getting Started with Python & Setup
- Core Python Syntax: Variables, Data Types & Operators
- Control Flow & Functions: Writing Reusable Code
- Data Structures Deep Dive: Lists, Tuples, Dicts & Sets
- Working with Files & Regular Expressions
- Pandas & NumPy Essentials for Data Manipulation
- Virtual Environments & Package Management
Module 2: SQL Mastery
- Introduction to Relational Databases & SQL Basics
- Advanced Joins, Subqueries & Set Operations
- Window Functions, CTEs & Analytical Queries
- Indexing Strategies & Query Performance Tuning
- Stored Procedures, Views & Transaction Management
Module 3: SQL 50 LeetCode Challenges
- Problems 1-10: From ‘Second Highest Salary’ to ‘Consecutive Numbers’
- Problems 11-20: Including ‘Customers and Orders’, ‘Activity Notifications’
- Problems 21-30: Including ‘Reservation Orders’, ‘Wealthiest Customer’
- Problems 31-40: Including ‘Weather Observation’, ‘Project Milestones’
- Problems 41-50: Including ‘Customer Churn’, ‘Real-Time Counts’
Module 4: Google Cloud Platform Fundamentals
- GCP Overview & Identity & Access Management (IAM)
- BigQuery Basics: Datasets, Tables & SQL Interface
- BigQuery Performance: Partitioning, Clustering & Cost Control
- Dataflow Fundamentals: Batch vs. Streaming Pipelines
- Pub/Sub Architecture & Real-Time Messaging Patterns
- Dataproc: Managed Hadoop & Spark Pipelines
- Cloud Functions: Building Serverless Data Endpoints
- Cloud Composer: Airflow as a Service on GCP
Module 5: Workflow Orchestration with Airflow
- Airflow Architecture & Core Concepts (DAGs, Tasks)
- Operators, Sensors & Hooks: Integrating with External Systems
- XComs, Variables & Connections for Dynamic Workflows
- Custom Plugins & Best Practices for Production
- Monitoring, Logging & Alerting in Airflow
Module 6: Big Data Ecosystem
- Hadoop Ecosystem Overview & HDFS Essentials
- YARN Resource Management & Cluster Operations
- Apache Spark Core: RDDs, DataFrames & Spark SQL
- Kafka Foundations & Integration in Data Pipelines
- NoSQL Databases: Cassandra & MongoDB for Scale
Module 7: Hands-On Real-Time Projects
- Streaming Analytics Pipeline
- Batch ETL with Airflow & Dataproc
- End-to-End Data Lake on GCP
- Real-Time E-Commerce Clickstream Analysis
Module 8: Big Data Special Topics
- Delta Lake & Streaming MERGE Patterns
- Data Governance & Metadata Management
- Introduction to Data Mesh & Lakehouse Architectures
- Cost Optimization Strategies in Cloud Data Platforms
Module 9: Job Portal Optimization & Career Prep
- Resume & LinkedIn Optimization for Data Engineering
- Crafting Project Portfolios & GitHub Best Practices
- Mock Interview Questions: SQL, Python & System Design
- Networking Strategies & Leveraging Referrals
Module 10: Job Guarantee & Career Success
- Personalized Mock Interviews & Feedback Sessions
- Salary Negotiation Techniques & Offer Evaluation
- Building Your Personal Brand in the Data Community
- Certification & Course Completion Deliverables
What our Alumni say
Hear from our graduates who have successfully transformed their careers with our program.
“The curriculum at Data Engineering School is top-notch. I went from knowing basic SQL to implementing complex data pipelines. The job guarantee was fulfilled within 2 months of graduation.”
Data Engineer at Tiger Analytics
“The hands-on projects were the highlight for me. Working on real-world problems prepared me for the challenges I now face in my role. The mentorship was invaluable.”
Senior Data Engineer at Celebal
“”I had attempted to learn data engineering on my own but struggled with the practical implementation. This program bridged that gap perfectly. Worth every rupee!””
Senior Data Engineer at Nagarro
“The job preparation module was exceptional. The mock interviews and feedback sessions helped me secure multiple offers. I’m now earning 3x my previous salary.”
Data Engineer at TCS
“Coming from a non-CS background, I was worried about keeping up. The progressive curriculum and supportive instructors made the transition smooth. Now I’m confidently building data pipelines.”
Data Analyst at Cognizant
“”The GCP and Airflow modules were particularly valuable. I was able to implement what I learned immediately in my new role. The project-based learning approach really works!””
Data Engineer at TCS