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Become a
Data Engineer
Industry-Taught. 
Career-Ready.

Learn from Top Industry Experts and unlock your full potential?

Click the link below !

₹25,000|  ₹ 30,000 Affordable. Practical. Powerful.

Enroll Now

Become a
Data Engineer
Industry-Taught. 
Career-Ready.

Learn from Top Industry Experts and unlock your full potential?

Click the link below !

₹25,000|  ₹ 30,000 Affordable. Practical. Powerful.

Enroll Now
About this Training Program?

This Data Engineering training program is designed to equip aspiring professionals with the essential skills and hands-on experience needed to build robust data infrastructure, automate data pipelines, and support high-performance analytics systems. The curriculum blends foundational concepts with industry-level tools such as Python, SQL, PySpark, and cloud technologies like AWS and Azure.


Whether you're transitioning from starting fresh, software development, analytics, or a student, this course takes a practical, step-by-step approach to becoming a job-ready data engineer.

Course Objective

By the end of this training program, participants will be able to:

  • Build strong foundations in data warehousing, ETL/ELT processes, and big data architecture.
  • Master the use of modern tools and frameworks for scalable data pipeline development.
  • Prepare learners to handle real-world data engineering tasks, from raw data ingestion to analytics-ready outputs.
  • Build a portfolio of end-to-end data engineering projects that showcase their capabilities to employers.

Why is Data Engineering Beneficial & a Good Career Option?
  • High Demand & Salary: With data being core to every business, skilled data engineers are among the most in-demand and highest-paid tech professionals globally.
  • Crucial Tech Backbone: Data engineers are the architects of modern data systems — enabling machine learning, BI, and analytics by making data accessible and usable.
  • Versatile Skill Set: The blend of programming, cloud, automation, and database skills opens doors to a variety of tech roles beyond just engineering.
  • Explosive Industry Growth: As companies scale their data capabilities, the need for data engineers continues to grow rapidly across all industries. 

Data Engineering Course Features

👤
Live and Focused One-On-One Training Sessions.
🎓
Beginner-Friendly with No Prior Experience Required.
📊
Hands-on Projects Using Real-World Datasets.
💼
Designed for Career Transition & Job Readiness.
Why Us

Why Choose Us?

Live & One-On-One Guidance

Get tailored instruction through focused one-on-one sessions, ensuring you receive personalized support every step of the way.

No Experience? No Problem!

Our curriculum is built with beginners in mind — no prior coding or analytics experience is required to start your journey.

Hands-On, Practical Training

Work on real-world use cases and scenarios that mirror actual industry challenges, preparing you with job-ready skills.

Job Readiness & Career Transition

This course is crafted to help you transition smoothly into analytics roles, with a strong emphasis on employability and practical outcomes.

Course Curriculum

Module 1: Introduction to Data Engineering
  • What is Data Engineering?
  • The Data Lifecycle: Ingestion, Storage, Processing, and Delivery.
  • Roles and Responsibilities of a Data Engineer.
  • Key Differences Between Data Engineers, Analysts, and Scientists.
  • Overview of Tools & Technologies: Python, SQL, PySpark, AWS, MS Excel.
Module 2: JavaScript Fundamentals
  • Data cleaning and formatting.
  • PivotTables and Pivot Charts.
  • Lookup functions (VLOOKUP, XLOOKUP).
  • Basic dashboards in Excel.
Module 3: SQL for Data Engineering
  • Introduction to Databases and RDBMS
  • Writing basic to advanced SQL queries
  • Filtering, Sorting, and Aggregating Data
  • Joins (INNER, LEFT, RIGHT, FULL)
  • Subqueries, CTEs, and Window Functions
  • Creating Views and Stored Procedures
Module 4: Python for Data Engineering
  • Python basics: variables, data types, control flow
  • Working with libraries: NumPy, Pandas
  • Data cleaning and wrangling
  • Exploratory Data Analysis (EDA) with Pandas
  • Data visualization with Matplotlib and Seaborn
  • Handling missing data and outliers
  • Simple use of APIs and JSON data
Module 5: Python API for Apache Spark (PySpark)
  • Introduction to Spark & Architecture.
  • Working with Databricks.
  • Data Transformations with PySpark - Beginner, Intermediate, and Advanced.
  • Data Ingestion and Schema Handling.
  • Spark SQL Integration.
  • Data Ingestion and Schema Handling.
Module 6: AWS for Data Engineering
  • Introduction to AWS and its Services.
  • Amazon S3 (Simple Storage Service).
  • Amazon Redshift.
  • AWS Glue.
  • Amazon RDS.
  • AWS Data Pipeline.
  • Amazon EC2.
Module 7: Capstone Project
  • Tackle a real-world data engineering problem.
  • Build a full data pipeline: ingest → store → transform → load.
  • Use tools like Spark and AWS services.
  • Implement data quality checks and schema handling.
  • Present the pipeline and architecture to a review panel.
Bonuses
  • 1:1 Resume + LinkedIn Review Session.
  • Interview Prep Bootcamp.
  • Exclusive Masterclasses.
  • Mock Interview with Feedback.
Deliverables
  • Weekly Live Doubt Clearing & Mentor Support.
  • Portfolio-Ready Capstone Project.
  • Data Pipeline Template Pack.
  • Progress Reports.

Course Curriculum

Module 1: Introduction to Data Engineering
  • What is Data Engineering?
  • The Data Lifecycle: Ingestion, Storage, Processing, and Delivery.
  • Roles and Responsibilities of a Data Engineer.
  • Key Differences Between Data Engineers, Analysts, and Scientists.
  • Overview of Tools & Technologies: Python, SQL, PySpark, AWS, MS Excel.
Module 2: Excel for Data Engineering
  • Data cleaning and formatting.
  • PivotTables and Pivot Charts.
  • Lookup functions (VLOOKUP, XLOOKUP).
  • Basic dashboards in Excel.
Module 3: SQL for Data Engineering
  • Introduction to Databases and RDBMS
  • Writing basic to advanced SQL queries
  • Filtering, Sorting, and Aggregating Data
  • Joins (INNER, LEFT, RIGHT, FULL)
  • Subqueries, CTEs, and Window Functions
  • Creating Views and Stored Procedures
Module 4: Python for Data Engineering
  • Python basics: variables, data types, control flow
  • Working with libraries: NumPy, Pandas
  • Data cleaning and wrangling
  • Exploratory Data Analysis (EDA) with Pandas
  • Data visualization with Matplotlib and Seaborn
  • Handling missing data and outliers
  • Simple use of APIs and JSON data
Module 5: Python API for Apache Spark (PySpark)
  • Introduction to Spark & Architecture.
  • Working with Databricks.
  • Data Transformations with PySpark - Beginner, Intermediate, and Advanced.
  • Data Ingestion and Schema Handling.
  • Spark SQL Integration.
  • Data Ingestion and Schema Handling.
Module 6: AWS for Data Engineering
  • Introduction to AWS and its Services.
  • Amazon S3 (Simple Storage Service).
  • Amazon Redshift.
  • AWS Glue.
  • Amazon RDS.
  • AWS Data Pipeline.
  • Amazon EC2.
Module 7: Capstone Project
  • Tackle a real-world data engineering problem.
  • Build a full data pipeline: ingest → store → transform → load.
  • Use tools like Spark and AWS services.
  • Implement data quality checks and schema handling.
  • Present the pipeline and architecture to a review panel.
Bonuses
  • 1:1 Resume + LinkedIn Review Session.
  • Interview Prep Bootcamp.
  • Exclusive Masterclasses.
  • Mock Interview with Feedback.
Deliverables
  • Weekly Live Doubt Clearing & Mentor Support.
  • Portfolio-Ready Capstone Project.
  • Data Pipeline Template Pack.
  • Progress Reports.
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*These are paid services post 1 week of course completion.
Interview Prep
Resume Building
LinkedIn Optimization
Career Support Services
Interview Prep
Interview Practice

Recorded practice with AI feedback on speech, tone, and filler words.

Simulation

Simulated virtual interviews (Zoom, HireVue-style).

Interview Story Bank Creation

Categorize stories by skill, company value, or role.

Crisis Question Coaching

How to answer gaps, firings, career changes etc.

Resume Building
ATS Optimization

Tailor resumes with the right keywords to pass Applicant Tracking Systems..

Role-Specific Customization

Create versions of the resume for different job types or industries.

Professional Formatting & Design 

Clean, modern templates that balance readability and visual appeal. 

Resume Critique & Live Feedback

Detailed feedback sessions with actionable edits. 

Entry-Level & Fresher Resume Creation 

Focused on projects, internships, academic achievements, and potential. 

LinkedIn Optimization
LinkedIn Revamp

Revamp your LinkedIn profile and give it a completely new look.

Headline Transformation for Visibility

Craft attention-grabbing, keyword-optimized headlines that showcase your expertise and make you stand out in searches.

Strategic Content & Engagement Plan

Develop a posting strategy to increase visibility, establish thought leadership, and engage with your network through relevant content sharing and comments. 

Connection Strategy for Networking

Develop a targeted connection approach, including personalized connection requests and outreach templates to grow your network with relevant professionals and recruiters. 

Career Support Services
Networking Concierge

Help clients create and maintain a networking plan.

Job Offer Evaluation Session

Compare compensation, benefits, growth potential, and cultural fit. 

Professional Communication Coaching

Focused on email etiquette, Slack culture, and workplace messaging. 

Job Boards training

Learn how to make the most use of professional job boards.

Entrepreneurial Path Planning

Explore how to turn your skills into a solo business or side hustle.

Success Stories!

Got a Query ??

Check out our FAQ !

Why should I opt for NextGen Coders?

At NextGen Coders, we don’t just teach — we mentor you all the way from basics to job readiness. Our hands-on courses, 1-on-1 mentorship, and personalized career support help you build skills that actually get you hired — all at extremely affordable prices.

What if I miss a class or fall behind?

No need to stress if you miss a session — every class is recorded and available to you anytime, anywhere. You’ll have lifetime access to the recordings so you can learn at your own pace. Plus, our regular doubt-clearing sessions and active support channels ensure you never fall behind, no matter where you start.

Are your courses beginner-friendly?

Absolutely. Most of our programs are designed with beginners in mind — no prior experience needed. We start from scratch and support you with doubt sessions, real examples, and hands-on practice to build your confidence step-by-step. 

We do offer upskilling batches as well.

Are there EMI or student discounts available?

Yes, we’ve got your back with student-friendly pricing, early bird deals, and flexible payment options. Reach out to our team to know about the latest offers and discounts available for you!