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Data Engineering Job Oriented Program

#No.1 Data Engineer Course

Prepzee’s Data Engineering Course has been curated to help you master skills like Azure Data Engineering, Microsoft Fabric Data Engineering DP 700, Databricks, Snowflake, Airflow and Kafka. This Data Engineering Bootcamp will help you get your dream Job in Data Engineering Domain.

  • Master Azure, Fabric, Databricks, ADF & Snowflake
  • Hands-On Airflow, DBT, Kafka Training for Data Engineering
  • Clear 3 Data Engineering Certifications (Microsoft, Snowflake & Databricks)

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Data Engineering Job Oriented Program Online
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What You will Learn in the Program?

  • Module 1

    Programming Foundations for Data Engineering

    Online Live Training
    • Introduction to Python and environment setup
    • Running Python scripts and basic syntax
    • Variables and data types in Python
    • Working with lists, tuples, sets, and dictionaries
    • Conditional statements and control flow
    • Loops and functions in Python
    • Introduction to Python libraries
    • NumPy for numerical operations
    • Pandas for working with structured data
  • Module 2

    Data Modeling & System Design

    Online Live Training
    • Understanding structured, semi-structured, and unstructured data
    • OLTP vs OLAP systems and their use cases
    • Data warehouses, data lakes, and data marts
    • Designing fact and dimension tables
    • Slowly changing dimensions (SCD) in data modeling
    • Star and snowflake schema design
    • Data modeling for scalable data pipelines
    • Designing end-to-end data workflows and architectures
    • Building and managing ETL pipelines
    • Data lineage and schema evolution
  • Module 3

    Cloud Data Engineering with Azure & Fabric

    Online Live Training
    • Introduction to Cloud Computing
    • Introduction to Microsoft Azure
    • Secure your Azure environment with Entra ID, SPN’s, Managed Identities.
    • Master structured, unstructured, and messaging data with Azure Storage Accounts.
    • Table, Blob, Queue Storage
    • Build enterprise-grade data lakes using Azure Data Lake Gen2
    • Connect and automate services seamlessly using REST APIs in Azure
    • Design and manage cloud-native relational databases with Azure SQL
    • Build Pipelines using Azure Data Factory
    • Linked Services, Integration runtime in ADF
    • Azure Key vaults – Integration
    • Introduction to Microsoft Fabric
    • Ingest data using Microsoft Fabric
    • Explore and Integrate Dataflows Gen2 in Microsoft Fabric
    • Real – Time Intelligence in Microsoft Fabric
    • Lakehouse and Data Management in Microsoft Fabric
    • Explore Data Warehouses in Microsoft Fabric
    • Load, Manage, Secure Data Warehouse in Microsoft Fabric
    • Deep dive into Semantic Models
  • Module 4

    Large-Scale Data Processing with Databricks

    Online Live Training
    • Introduction to Databricks and Spark execution
    • RDD overview and DataFrames for distributed processing
    • Reading and writing data (CSV, Parquet)
    • Data ingestion and transformation using PySpark
    • Spark SQL, joins, aggregations, and window functions
    • Performance optimization and monitoring using Spark UI
    • Azure Databricks architecture and cluster management
    • Unity Catalog for data governance and access control
    • Delta Lake architecture and working with Delta tables
    • Implementing Medallion architecture (Bronze, Silver, Gold)
    • Designing batch and real-time data pipelines
    • End-to-end data processing using Databricks
  • Module 5

    Snowflake with Cortex AI 🔥

    Online Live Training
    • Introduction to Snowflake
    • Introduction to Snowflake Cortex AI
    • Snowflake’s use cases in data engineering
    • Data types and structures in Snowflake
    • Snowflake architecture deep dive
    • Cloud services layer, compute layer, storage layer
    • Data storage and performance optimization
    • Loading data into Snowflake
    • Data transformation in Snowflake
    • Implementing real-time ETL pipelines using Snowflake
    • Connecting Snowflake to BI tools like Tableau, Power BI
    • Cortex AI
    • Cortex AI Search Service
    • Cortex Analyst
    • Document AI for NLP & predictive analytics
  • Module 6

    Data Orchestration & Real-Time Pipelines

    Online Live Training
    • Introduction to workflow orchestration and Airflow
    • Understanding Airflow architecture and core components
    • Working with DAGs, operators, and task scheduling
    • Building and scheduling data pipelines using Airflow
    • Managing workflows using Airflow UI
    • Extending Airflow using plugins
    • Introduction to real-time data pipelines and Kafka
    • Understanding Kafka architecture and core components
    • Working with producers, consumers, and topics
    • Setting up and configuring Kafka clusters
    • Use cases of Kafka in real-time data processing
  • Module 7

    Data Engineering for AI Systems 🤖

    Online Live Training
    • Understanding RAG Architecture from a Data Pipeline Perspective
    • How data flows from source systems → embeddings → vector database →LLM
    • Role of Data Engineers in building and maintaining RAG data pipelines
    • Vector Databases for Data Storage & Retrieval
    • Storing and managing embeddings as a new form of data storage
    • Processing and Managing Unstructured Data
    • Data Ingestion Strategies for AI Applications
    • Batch and streaming ingestion for AI systems
  • Module 8

    Interview/ Certification/ Resume Preparation

    Online Live Training

    Get Mock Interview Sessions

    Get guidance to show Projects & Experience in your resume

    Get Sample Exam Papers for Certifications

    Build ATS Friendly Resume for better Reach

Download Syllabus

Data Engineer Classes Overview

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    100+ Hours of Live Training

    Including Top 3 Data Engineering Tools according to Linkedin Jobs

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    80+ Hours Hands-on & Exercises

    Learn by doing multiple labs in your data engineering online training journey

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    8+ Projects & Case Studies

    Get a feel for Data Engineering professionals by doing real-time projects during data engineering online courses.

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    24*7 Technical Support

    Call us, E-Mail us whenever you stuck.

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    Learn from the Top 1% of Experts

    Instructors are Microsoft Certified Trainers providing data engineer online training.

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    Lifetime Live Training Access

    Attend multiple batches until you achieve your Dream Goal with the online data engineer master course.

Learn Projects & Assignments Handpicked by Industry Leaders

Our data engineer tutors are real business practitioners who hand-picked and created assignments and projects for you that you will encounter in real work, preparing you for a data engineering online certification course.

Siddharth
Neeraj
Nagarjuna
Project 1 Azure Data Platform Architecture (Insurance Domain)

Build a production-grade insurance data platform on Microsoft Azure, leveraging Databricks for scalable data processing and transformations, and implementing medallion architecture (Bronze–Silver–Gold) to deliver clean, modeled, and business-ready data for analytics and dashboards.

Project 2 ⚡ Real-Time Data Engineering System (Event-Driven Architecture)

Build a real-time data engineering system inspired by Uber using Apache Kafka, where a single booking triggers driver allocation, payments, notifications, and analytics instantly.

Project 3 💰 Financial Data Platform & Risk Intelligence (FinTech Domain)

Build an enterprise-grade financial data platform using Apache Airflow, Snowflake, and dbt—transforming transaction data from PostgreSQL into actionable insights for risk, fraud, and analytics.

Project 4 🏥 Healthcare Data Platform & AI Analytics (Healthcare Domain)

Design an end-to-end healthcare data platform on Microsoft Fabric, processing data from EHR systems, IoT wearables, medical imaging, and insurance claims to power AI-driven use cases like patient risk prediction, fraud detection, and operational optimization.

Project 5 End-to-End Retail Data Platform (Production Grade)

Build a production-grade retail analytics platform using Snowflake, transforming sales, customer, and product data into scalable, analytics-ready datasets for business insights and reporting.

That’s what They Said

  • Placed at Microsoft as a Data Engineer! The program gave me strong practical exposure to real-world data engineering workflows, hands-on projects, and guidance from industry professionals. It really helped me build the skills and confidence needed for this transition. Highly recommended for anyone serious about a career in Data Engineering.

    Kishan Yadav Data Engineer @ Microsoft

    Transitioned from traditional Big Data technologies into modern Data Engineering workflows with the help of this program. The practical learning approach, real-world projects, and exposure to new-age tools helped me strengthen my skills in modern data engineering. Highly recommended for professionals looking to upgrade from Big Data to cloud and modern Data Engineering technologies.

    Eresh Tayanna Senior Data Engineer @ Maveric Systems

    I had an excellent experience with Prepzee’s Data Engineer course. The content was well-structured, practical, and aligned with current industry requirements. The hands-on approach helped me understand real-world use cases effectively. A special thanks to Ajitesh, whose clear explanations, industry insights, and willingness to answer questions made the learning experience even more valuable.

    Manisha Kumari Data Engineer @ HCLTech

  • The Azure Data Engineering program gave me strong practical exposure to real-world data engineering workflows, cloud technologies, and hands-on projects. The knowledge and experience I gained through the program helped me develop the skills and confidence required to secure this opportunity. Highly recommended for anyone serious about building a career in Data Engineering.

    Mayank Sharma Data Engineer @ Databricks

    The program helped me strengthen my expertise in modern Azure Data Engineering with a strong focus on practical implementation and real-world workflows. The hands-on projects, industry-oriented approach, and guidance from working professionals made the learning highly valuable. A great program for professionals looking to upskill in modern cloud and data engineering technologies.

    Kishor Azure Data Engineer @ Synechron

    I have completed the Data Engineering program with Prepzee, where I learned Azure, Snowflake, DBT, and Airflow. It was an amazing experience with a strong focus on practical learning. Special thanks to our trainer, Aneel, who provided great support during the lab sessions. Prepzee is the best platform for beginners who want to become experts in Data Engineering.

    Waqar Shareef Senior Data Analyst

  • Coming from a PostgreSQL DBA background, I wanted to expand my skills into modern Data Engineering. This program gave me hands-on experience with Azure, Databricks, Snowflake, Airflow, and real-world data engineering workflows. The practical projects and structured learning helped me understand cloud-based data platforms and strengthened my ability to contribute to data engineering initiatives.

    Jatin Garg DBA @ Tata Consultancy Services

    Prepzee has been a great partner in upskilling employees. Their training content is well-structured, and the LMS recordings made it easy to review sessions anytime. The trainer was knowledgeable and always ready to help. I would highly recommend Prepzee to anyone looking to enhance their skills.

    Sheetal Katiyar Senior Module Lead @ Confidential

    After several years in software development, I wanted to transition into Data Engineering. This program provided hands-on experience with Azure, Databricks, Snowflake, Airflow, Kafka, and real-world projects. The practical learning approach helped me build industry-relevant skills and played a key role in my successful transition to a Data Engineer role and later growth into a Senior Data Engineer position.

    Vasantha Manvitha Bonda Data Engineer @ Cargill

Skills Covered

Tools Covered

Placement Overview

  • 500+
    Career Transitions
  • 9 Days
    Placement time
  • Upto 350%
    Salary hike

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Data Engineer Professional Course

Get Certified after completing Data Engineer full course with Prepzee

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Frequently Asked Questions

Enroll in our Job-Oriented Data Engineer Program and embark on a dynamic journey towards a thriving career in data engineering. This comprehensive program is designed to equip you with the skills and knowledge necessary to excel in the ever-evolving field of data engineering. Throughout this program, you'll delve into a diverse array of tools and technologies that are crucial for data engineers, including popular platforms like Databricks, Snowflake, PySpark, Azure, and Azure Synapse Analytics, among many more.

Prepzee offers 24/7 support to resolve queries. You raise the issue with the support team at any time. You can also opt for email assistance for all your requests. If not, a one-on-one session can also be arranged with the team. This session is, however, only provided for six months starting from your course date.

All instructors at Prepzee are Microsoft certified experts with over twelve years of experience relevant to the industry. They are rightfully the experts on the subject matter, given that they have been actively working in the domain as consultants. You can check out the sample videos to ease your doubts.

Prepzee provides active Job assistance to all candidates who have completed the training successfully. We help candidates prepare for résumé and Mock interview session.

Projects included in the data engineer training program are updated and hold high relevance and value in the real world. Projects help you apply the acquired learning in real-world industry structures. Training involves several projects that test practical knowledge, understanding, and skills. High-tech domains like e-commerce, networking, marketing, insurance, banking, sales, etc., make for the subjects of the projects you will work on. After completing the Projects, your skills will be synonymous with months of meticulous industry experience.

Prepzee's Course Completion Certificate is awarded once the training program is completed, along with working on assignments, real-world projects, and quizzes, with a least 60 percent score in the qualifying exam.

Actually, no. Our job assistance program intends to help you land the job of your dreams. The program offers opportunities to explore competitive vacancies in the corporates and look for a job that pays well and matches your profile and skill set. The final hiring decision will always be based on how you perform in the interview and the recruiter's requirements.

You can enroll for Microsoft Fabric DP 700 certification.

The Data Engineering Certification Training Course is a specialized program designed to provide learners with the skills required to build and manage data infrastructure and pipelines. Covering key topics like data modeling, ETL processes, big data technologies, and cloud computing, this course offers hands-on experience with the tools and techniques used in data engineering. For those looking to enhance their technical expertise, data engineering courses offer a solid foundation in managing large-scale data systems and real-time data processing.

No, prior experience in data engineering is not mandatory to enroll in this course. The data engineering job-oriented program is designed to cater to both beginners and professionals who are looking to transition into the field. However, having a basic understanding of programming, databases, and SQL can be helpful but is not essential. The course covers all the foundational concepts and gradually progresses to advanced topics, making it suitable for individuals with varying levels of experience.

The Data Engineer Course takes 100 hours to complete, which includes both live training and hands-on exercises. The program is designed to be intensive, providing you with a comprehensive understanding of data engineering tools and concepts. With practical projects and expert guidance, this course equips you with the skills needed for a successful career in data engineering.

Yes, this course is suitable for beginners as well as those with some technical background. While prior programming knowledge can be helpful, the data engineer classes are designed to start with foundational concepts and gradually build up to more advanced topics. You'll learn essential programming skills like Python for data engineering, making it accessible for anyone eager to transition into this field.

After completing the data engineering course, you will receive a certification from Prepzee, validating your skills and expertise in data engineering tools and technologies. This certification can enhance your resume and LinkedIn profile, showcasing your proficiency in areas like PySpark, Databricks, Snowflake, and Azure. It’s a valuable credential to help you advance in your data engineering career.

The data engineer online course covers a wide range of essential topics, including Python for data engineering, data warehousing, Microsoft Fabric, PySpark, Databricks, Snowflake, Apache Airflow, and Kafka. You'll also learn real-time streaming, data transformation, and building data pipelines, providing you with hands-on experience in industry-leading tools and technologies necessary for a successful career in data engineering.

Yes, the data engineering training includes extensive hands-on experience with real-world data engineering tools like PySpark, Databricks, Snowflake, and Apache Kafka. You’ll work on multiple projects and case studies that simulate real-world scenarios, allowing you to apply what you've learned to practical challenges and gain valuable, job-ready skills.

Yes, the course includes practical projects and case studies to help you apply your learning in real-world scenarios. Through data engineering training online, you'll work on hands-on projects using tools like PySpark, Databricks, and Snowflake, which will enhance your understanding and problem-solving skills. These projects ensure you gain the practical experience needed to succeed in a data engineering role.

You’ll primarily learn Python, which is essential for data engineering tasks such as scripting, automation, and building data pipelines. Additionally, you’ll work with frameworks and tools like PySpark for big data processing, Apache Kafka for real-time streaming, and Databricks for data analytics, equipping you with the skills to handle a wide range of data engineering challenges.

This course will help you build a career in data engineering by providing you with practical skills in key technologies like PySpark, Databricks, Snowflake, and Apache Kafka. Through data engineering training online, you’ll gain hands-on experience with real-world projects, learn how to design and manage data pipelines, and understand cloud platforms, all of which are highly valued by employers in the data engineering field.

Yes, the certification you receive after completing the course is recognized by employers and industry professionals. As part of the data engineering boot camp, you’ll acquire hands-on experience with industry-standard tools and technologies, which will enhance your credibility and job prospects. This certification demonstrates your proficiency in data engineering, making you a valuable candidate in the competitive job market.

After completing this course, you can apply for various job roles such as Data Engineer, Cloud Data Engineer, Data Integration Specialist, and Data Consultant. You’ll also be qualified for positions like Microsoft Fabric Specialist, Cloud Data Warehouse Engineer, and Data Architect, all of which are in high demand as companies continue to rely on data-driven decision-making and cloud-based solutions. Checkout our list of top Data Engineer Interview Questions & Answers that helps you to crack your interview for any position.

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