Is cloud Data Engineering included?

Yes. The course introduces AWS, Azure, and Google Cloud data engineering concepts and services.

Will I work on practical projects?

Yes. The course includes practical projects and an end-to-end capstone covering modern Data Engineering workflows.

Can working professionals take this course?

Yes. The curriculum is suitable for IT and data professionals looking to build or strengthen Data Engineering skills.

What certificate will I receive?

Learners who complete the required course components can receive a TechPratham Data Engineering Course Certificate.

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CoursesHigh Demanding

Data Engineering Course in Pune

High Demanding

Data Engineering Course in Pune

Q: What is Data Engineering?

Data Engineering focuses on designing and maintaining systems that collect, process, transform, store, and deliver reliable data for analytics, applications, and AI.

Q: What will I learn in this Data Engineering course?

You will learn Python, SQL, data modeling, ETL/ELT, Spark, PySpark, Kafka, Airflow, dbt, cloud platforms, data warehouses, data lakes, data quality, and production pipeline development.

Q: Is this course suitable for beginners?

The program is designed for intermediate learners. Basic Python, SQL, and database knowledge is recommended.

Q: Do I need Python for Data Engineering?

Yes, basic Python knowledge is recommended because Python is widely used for data processing, automation, and pipeline development.

Q: Will I learn Apache Spark?

Yes. The curriculum covers Spark architecture, PySpark, DataFrames, Spark SQL, distributed processing, and performance optimization.

Q: Will Kafka be covered?

Yes. You will learn Kafka architecture, topics, partitions, producers, consumers, consumer groups, offsets, and real-time streaming concepts.

Build practical skills through a Data Engineering Course in Pune covering Python, SQL, ETL/ELT, Apache Spark, PySpark, Kafka, Airflow, dbt, cloud data platforms, data warehousing, and real-time pipelines. This Data Engineering Training in Pune includes hands-on projects, modern data engineering tools, and an Online Data Engineering Course learning option.

5/5(4,890 Reviews)

Level

Advanced

Duration

8 Weeks

About

Training Plan

Course Curriculum

New Batch

Projects

Certificate

Testimonials

FAQ

Interview FAQ

Placement Client

About Data Engineering Course in Pune

The Data Engineering Course in Pune helps learners build practical skills for developing scalable and production-ready data pipelines. The program covers Python, advanced SQL, data modeling, ETL and ELT, Apache Spark, PySpark, Apache Kafka, Airflow, dbt, data warehouses, data lakes, lakehouse architecture, cloud data platforms, data quality, governance, and real-time processing.

This Data Engineering Training in Pune includes practical learning across AWS, Azure, and Google Cloud concepts, with hands-on work in ingestion, transformation, orchestration, batch and streaming pipelines. The Data Engineering Courses in Pune curriculum also introduces Docker, Git, CI/CD, pipeline testing, monitoring, and performance optimization.

Learners looking for a Data Engineer Course in Pune, Data Engineer Training in Pune, Data Engineering Classes in Pune, or Data Engineer Classes in Pune can build job-ready skills through practical projects and an end-to-end capstone. The program also supports learners seeking a Data Engineering Course Pune, Data Engineering Training Pune, and an Online Data Engineering Course.

Training Plan

About trainer

Working professional who is carrying more than 10 years of industry experience.

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

e-Book

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

Video Recording

Daily Session would be recorded and shared to the candidate.

Projects

Live projects will be provided for hands-on practice.

Resume Building

Expert-guided resume building with industry-focused content support.

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

Data Engineering Course Curriculum

Module 1: Data Engineering Fundamentals

Understand the complete data engineering lifecycle, modern architectures, data sources, pipelines, and production data workflows.

Introduction to Data Engineering

Role of a Data Engineer

Data Engineering Lifecycle

Structured and Unstructured Data

Batch vs Real-Time Processing

ETL vs ELT

Data Pipeline Architecture

Modern Data Stack

Data Warehouse

Data Lake

Lakehouse Architecture

Data Engineering Best Practices

Module 2: Python and Advanced SQL

Develop strong Python and SQL skills for data processing, automation, querying, and pipeline development.

Python Fundamentals

Functions and Data Structures

OOP for Data Engineering

File Handling

CSV and JSON Processing

APIs

Pandas

Error Handling

Logging

Advanced SQL

CTEs

Window Functions

Complex Joins

Query Optimization

SQL for Data Pipelines

Module 3: Data Modeling and Database Engineering

Learn how to design efficient database structures and analytical data models for scalable data platforms.

Relational Databases

OLTP vs OLAP

Normalization

Dimensional Modeling

Fact Tables

Dimension Tables

Star Schema

Snowflake Schema

Slowly Changing Dimensions

Primary and Foreign Keys

Indexing

Partitioning

Data Warehouse Modeling

Module 4: ETL, ELT and Data Pipeline Development

Build reliable pipelines for data ingestion, transformation, validation, loading, and automation.

ETL Architecture

ELT Architecture

Data Ingestion

Batch Processing

Incremental Loads

Full Loads

Data Transformation

Data Cleansing

Pipeline Validation

Error Handling

Pipeline Testing

API-Based Ingestion

File-Based Ingestion

Module 5: Apache Spark and PySpark

Learn distributed data processing with Apache Spark and PySpark for large-scale batch and analytical workloads.

Spark Architecture

Driver and Executors

RDDs

DataFrames

Spark SQL

PySpark

Transformations

Actions

Joins

Aggregations

Partitioning

Caching

Shuffle

Performance Optimization

Structured Streaming Fundamentals

Module 6: Apache Kafka and Real-Time Data Engineering

Learn event-driven architecture and real-time data ingestion using Apache Kafka and streaming technologies.

Kafka Architecture

Brokers

Topics

Partitions

Producers

Consumers

Consumer Groups

Offsets

Replication

Kafka Connect

Schema Registry Concepts

Event-Driven Architecture

Real-Time Pipelines

Kafka-Spark Integration

CDC Concepts

Streaming Reliability

Module 7: Apache Airflow and Workflow Orchestration

Automate and monitor complex data workflows using Apache Airflow.

Airflow Architecture

DAGs

Tasks

Operators

Sensors

Scheduling

Dependencies

Task Retries

Failure Handling

Backfilling

XCom Concepts

Workflow Monitoring

Pipeline Automation

Airflow with Cloud Services

Module 8: Data Warehousing, Data Lakes and Lakehouse

Understand modern data storage architectures and analytical platforms used in enterprise data engineering.

Data Warehouse Architecture

Data Lake Architecture

Lakehouse Architecture

Cloud Object Storage

Parquet

ORC

Delta Lake

Bronze, Silver and Gold Layers

Data Partitioning

Data Organization

Snowflake Concepts

BigQuery Concepts

Analytical Workloads

Storage Optimization

Module 9: Cloud Data Engineering

Explore cloud-based data engineering architectures across AWS, Azure, and Google Cloud.

Cloud Data Engineering Fundamentals

AWS S3

AWS Glue

AWS Redshift

AWS EMR

AWS Data Pipelines

Azure Data Factory

Azure Data Lake

Azure Synapse

Google Cloud Storage

BigQuery

Dataflow

Cloud Data Warehousing

Cloud Data Architecture

Module 10: dbt, Data Quality and Testing

Learn modern SQL transformation workflows, automated testing, validation, and data quality management.

dbt Fundamentals

dbt Models

Sources

Seeds

Incremental Models

SQL Transformations

dbt Testing

Data Quality Rules

Data Validation

Duplicate Detection

Schema Validation

Data Profiling

Pipeline Testing

Quality Monitoring

Module 11: Production Data Engineering, Security and DevOps

Prepare data pipelines for production with governance, security, monitoring, version control, deployment, and optimization practices.

Data Governance

Data Security

Access Control

Data Privacy

Data Lineage

Metadata Management

Data Catalog Concepts

Pipeline Observability

Monitoring

Logging

Monitoring

Git

GitHub

Docker

CI/CD

Pipeline Deployment

Cost Optimization

Performance Optimization

Production Troubleshooting

Module 12: End-to-End Data Engineering Capstone

Apply the complete Data Engineering lifecycle to build a production-style cloud data platform.

Business Problem Definition

Source Analysis

Data Ingestion

Data Modeling

ETL/ELT

PySpark Processing

Kafka Streaming

Airflow Orchestration

Cloud Storage

Data Warehouse

dbt Transformation

Data Quality

Monitoring

Data Lineage

Git and Deployment

Documentation

Final Presentation

High Demanding Courses

No related courses found

Additional Program Highlights

Comprehensive study materials and resources

Professional resume building session

Master your interview skills

Real-world project demonstrations

Upcoming Batches

✓ Selected

Weekdays

📅 08 Oct 2026

⏰ Time

07:00 AM11:00 AM

02:00 PM09:00 PM

Weekends

📅 11 Oct 2026

⏰ Time

07:00 AM11:00 AM

02:00 PM09:00 PM

Weekdays

📅 13 Oct 2026

⏰ Time

07:00 AM11:00 AM

02:00 PM09:00 PM

Weekdays

📅 14 Oct 2026

⏰ Time

07:00 AM11:00 AM

02:00 PM09:00 PM

Can't find a batch you were looking for?

Who Should Take This Course?

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Working Professionals

Ops/Administrators/HR

Developers

BA/QA Engineers

Cloud / Infra

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Career Opportunities After Learning Data Engineering

Data Engineer

Junior Data Engineer

Cloud Data Engineer

Big Data Engineer

Data Pipeline Engineer

ETL Developer

Data Platform Engineer

Data Warehouse Engineer

Data Engineer

Junior Data Engineer

Cloud Data Engineer

Key Projects

Data Engineering Course in Pune

Walmart – Retail Data Pipeline

Scenario: Build a scalable pipeline to process customer, product and sales data for analytics.

Live Work:

Build batch ingestion workflows
Transform sales and customer data
Create analytics-ready datasets

Outcome: Production-style retail data pipeline

WNS – Customer Analytics Platform

Scenario: Develop a cloud pipeline integrating customer and operational datasets for analytics.

Live Work:

Ingest multi-source customer data
Build warehouse data models
Automate pipeline workflows

Outcome: Automated customer data platform

Accenture – Real-Time Event Pipeline

Scenario: Build a streaming pipeline to process high-volume business events in near real time.

Live Work:

Ingest events with Kafka
Process streams with Spark
Monitor pipeline performance

Outcome: Scalable streaming pipeline

Deloitte – Cloud Data Platform

Scenario: Build an end-to-end cloud platform combining ingestion, transformation, warehousing and quality checks.

Live Work:

Design cloud data architecture
Build ETL and warehouse workflows
Add quality and monitoring checks

Outcome: End-to-end cloud data platform

Placement Process

Live Class with Industry Use Cases

Interactive learning
Real-world examples
Expert guidance
Doubt resolution

Daily Assignment & Weekly Assessments

Hands-on practice
Concept reinforcement
Weekly evaluation
Timely feedback

Project Testing & Deployment

Project development
Testing practice
Deployment exposure
Portfolio creation

Interview Preparation (Mock, PD, Alumni Session)

Mock interviews
Personal development
Alumni guidance
Confidence building

Resume Building

Resume crafting
Industry-focused format
Skills highlighting
Professional presentation

Placement

Job assistance
Interview support
Career guidance
Opportunity access

Latest Hiring

No hiring posts

Recently Placed Candidates

No placements available

Latest Hiring

No hiring posts

Our Success Mantra

Commitment

Ensuring quality training every day

Fulfillment

Meeting learning goals with confidence

Accomplishment

Students achieving industry-ready expertise

Our Learner Voice

Loading reviews...

Beyond Courses:

Additional Support We Provide

24/7 Support

LinkedIn Profile

Resume Writing

Alumni Sessions

Interview Preparation

Live Projects

What Makes TechPratham Training Different?

Feature

TechPratham Advantage

Industry Standard Institutes

Real-World Implementation

Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.

Restricted or simulation-based access that lacks real-world complexity.

Subject Matter Experts

Mentorship from certified professionals with 15+ years of global industry experience.

Generic instructors with no hands-on implementation background.

2026 Ready Curriculum

AI-driven curriculum with advanced platform integrations and real-world configurations.

Basic, outdated syllabus that misses key technical integrations.

Daily & Weekly assignments

Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.

Self-paced learning with no accountability or progress tracking.

End-to-End Lifecycle

Hands-on project testing and deployment with portfolio-ready real-world exposure.

Basic lab exercises without any deployment or testing practice.

Interview Readiness

Structured interview preparation including mock interviews, PD sessions, and alumni guidance.

Minimal support limited to a generic certificate of completion.

Placement Support

Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.

Basic career tips with no direct industry connections.

Training Support

24/7 technical doubt resolution and personalized mentoring support.

Limited mentor availability and no support after class hours.

Affordable Fees

Competitive fixed pricing with flexible payment options and transparent fee structure.

Inflated fees with hidden costs and low return on investment.

Real-World Implementation

Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.

Restricted or simulation-based access that lacks real-world complexity.

Subject Matter Experts

Mentorship from certified professionals with 15+ years of global industry experience.

Generic instructors with no hands-on implementation background.

2026 Ready Curriculum

AI-driven curriculum with advanced platform integrations and real-world configurations.

Basic, outdated syllabus that misses key technical integrations.

Daily & Weekly assignments

Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.

Self-paced learning with no accountability or progress tracking.

End-to-End Lifecycle

Hands-on project testing and deployment with portfolio-ready real-world exposure.

Basic lab exercises without any deployment or testing practice.

Interview Readiness

Structured interview preparation including mock interviews, PD sessions, and alumni guidance.

Minimal support limited to a generic certificate of completion.

Placement Support

Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.

Basic career tips with no direct industry connections.

Training Support

24/7 technical doubt resolution and personalized mentoring support.

Limited mentor availability and no support after class hours.

Affordable Fees

Competitive fixed pricing with flexible payment options and transparent fee structure.

Inflated fees with hidden costs and low return on investment.

What is Data Engineering?

What will I learn in this Data Engineering course?

Is this course suitable for beginners?

Do I need Python for Data Engineering?

Will I learn Apache Spark?

Will Kafka be covered?

Industry-Recognized Certification

Data Engineering Course Certificate

News Highlights

TechPratham Introduces Hire-Train-Deploy Model to Transform HR & ERP Talent in the AI Era

TechPratham Empowering Future Professionals Through AI-Focused HR & ERP Training

Featured In

TechPratham Gains Recognition for Bridging the HR & ERP Skills Gap with Hire-Train-Deploy

TechPratham's Hire-Train-Deploy Approach Reshaping HR & ERP Careers in the AI-Driven Industry

About Us

TechPratham is an ISO 9001:2015 certified IT Training and Development, delivering industry-focused certification courses with expert guidance and placement support.

CIN:U62013UP2025PTC223378GST:09AALCT8794N1Z2

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Hyderabad Office:LVS Arcade, 71, Hitech, 6th floor, Madhapur Road, Jubilee Enclave, HITEC City, Hyderabad - 500081

+91-8882178896

+1 (343) 477-0926

[email protected]

All Courses

Start typing to search courses...

Data Engineering Course in Pune

Enquire This Course

Placement Client

About Data Engineering Course in Pune

Training Plan

About trainer

Decks & Updated Content

e-Book

Assignments & MCQs

Video Recording

Projects

Resume Building

Interview Preparation

Data Engineering Course Curriculum

Module 1: Data Engineering Fundamentals

Module 2: Python and Advanced SQL

Module 3: Data Modeling and Database Engineering

Module 4: ETL, ELT and Data Pipeline Development

Module 5: Apache Spark and PySpark

Module 6: Apache Kafka and Real-Time Data Engineering

Module 7: Apache Airflow and Workflow Orchestration

Module 8: Data Warehousing, Data Lakes and Lakehouse

Module 9: Cloud Data Engineering

Module 10: dbt, Data Quality and Testing

Module 11: Production Data Engineering, Security and DevOps

Module 12: End-to-End Data Engineering Capstone

High Demanding Courses

Additional Program Highlights

Upcoming Batches

Who Should Take This Course?

Career Opportunities After Learning Data Engineering

Key Projects

Data Engineering Course in Pune

Walmart – Retail Data Pipeline

Live Work:

WNS – Customer Analytics Platform

Live Work:

Accenture – Real-Time Event Pipeline

Live Work:

Deloitte – Cloud Data Platform

Live Work:

Placement Process

Live Class with Industry Use Cases

Daily Assignment & Weekly Assessments

Project Testing & Deployment

Interview Preparation (Mock, PD, Alumni Session)

Resume Building

Placement

Latest Hiring

Recently Placed Candidates

Latest Hiring

Our Success Mantra

Commitment

Fulfillment

Accomplishment

Our Learner Voice

Beyond Courses:

What Makes TechPratham Training Different?

What is Data Engineering?

What will I learn in this Data Engineering course?

Is this course suitable for beginners?

Do I need Python for Data Engineering?

Will I learn Apache Spark?

Will Kafka be covered?

What is the difference between ETL and ELT?

What is Apache Spark?

What is PySpark?

What is Apache Kafka?

What is a Kafka consumer group?

What is Apache Airflow?

Data Engineering Course Certificate

The program covers:

Certificate Completion

Industry-Recognized Certification

News Highlights

Featured In

About Us

Courses