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COURSE · ENROLMENT OPEN

Data Engineering Pro.

Learn data engineering online with SQL, Python, Spark, Airflow, Kafka and cloud data warehouses. Build reliable batch and streaming pipelines and prepare for data engineer roles.

₹2,499full program · beginner to job-ready
3 months 12 hrs/week Beginner to advanced 4.4 · 5,500+ learners

Secure payment by Razorpay. By enrolling you accept the terms.

WHO THIS COURSE IS FOR

Built for your
next step.

Graduates, analysts and developers who want to build the data pipelines and platforms that analytics and AI teams depend on.

Advanced SQLPython for Data EngineeringData Modelling & WarehousingLinux & Shell ScriptingETL & ELT PipelinesApache Spark (PySpark)Apache AirflowApache KafkadbtCloud Data Platforms (AWS, Azure, GCP)Snowflake & BigQueryData Lakehouse & Delta LakeData Quality & Governance

WHAT YOU’LL BE ABLE TO DO

  • Write advanced SQL with joins, window functions and CTEs to transform large datasets.
  • Design dimensional data models and warehouses using star and snowflake schemas.
  • Process large datasets with PySpark and orchestrate pipelines using Apache Airflow.
  • Build real-time streaming pipelines with Kafka and transformation layers with dbt.
  • Deliver an end-to-end cloud data pipeline with data quality checks as your capstone.

CURRICULUM · FULL PROGRAM

10 modules,
all included.

Work through each module on your dashboard. Finish them all to generate your internship certificate, offer letter and letter of recommendation.

  1. 01

    Introduction to Data Engineering

    Role of a data engineer · Modern data stack overview · Batch vs streaming

  2. 02

    Advanced SQL for Data Engineers

    Window functions and CTEs · Query optimisation · Working with large tables

  3. 03

    Python & Linux for Data Engineering

    Python for data processing · Shell scripting · Working with APIs and files

  4. 04

    Data Modelling & Data Warehousing

    Dimensional modelling · Star and snowflake schemas · Snowflake and BigQuery

  5. 05

    ETL & ELT Pipelines with dbt

    ETL vs ELT · dbt models and tests · Incremental loads

  6. 06

    Big Data Processing with Apache Spark

    Spark architecture · PySpark DataFrames · Performance tuning

  7. 07

    Workflow Orchestration with Apache Airflow

    DAGs and operators · Scheduling and dependencies · Monitoring and retries

  8. 08

    Real-Time Streaming with Apache Kafka

    Kafka architecture · Producers and consumers · Stream processing basics

  9. 09

    Cloud Data Platforms & Lakehouse

    Data lakes on AWS, Azure and GCP · Delta Lake and Databricks · Data quality and governance

  10. 10

    Capstone: End-to-End Data Pipeline

    Designing the pipeline architecture · Building ingestion, transformation and orchestration · Testing, monitoring and documentation

CAREER OUTLOOK

Where this
can take you.

₹5 - ₹16 LPATypical salary range for these roles in India
27%Job growth
3 monthsProgram length at 12 hrs/week
WHY 01

Covers the modern data stack used in industry

WHY 02

Build batch and streaming pipelines hands-on

WHY 03

Prepares for data engineer and ETL developer roles

Companies hiring for these roles

YOUR MENTORS

Learn from
industry experts.

Dr. Rajesh Kumar K V

Chief Technological Scientist · 8+ years

System DesignCloud Architecture

WHAT’S INCLUDED

Everything you need
to get hired.

Mentorship & community

Learn from mentors with industry experience, inside a vibrant peer network for learning and growth.

Real-world projects

Gain practical experience through hands-on projects solving industry-specific problems.

Tools & technologies

Master the tools and skills that keep you job-ready.

Career support

Strategic placement support, resume building, and interview prep to land your dream role.

IN THE FULL PROGRAM · ₹2,499

  • Live & recorded sessions
  • All 10 modules, beginner to advanced
  • 3 real-world projects (resume-worthy)
  • Industry-recognised certification
  • Internship certificate, offer letter & recommendation
  • Dedicated doubt-clearing sessions
  • 1:1 mentorship from industry experts
  • Placement assistance & job readiness score
  • Mock interviews to sharpen your skills
  • Two years of alumni support
  • Resume & LinkedIn review: build a strong professional profile.
  • Hackathon access: take part in real-world coding competitions.
  • Internship referrals: get connected to top companies.
  • Soft skills & communication training: learn workplace communication.

HOW WE COMPARE

Learning that
leads to earning.

LEARNING TO EARNING

Invezoro

Get your dream job

  • About 12 hours of effort a week
  • 3-month program
  • 2 years of alumni support
  • Live classes by industry experts
  • Industry-aligned curriculum (accredited by Wipro & Nasscom)
  • Active placement support

PAY AFTER PLACEMENT

Courses

High investment

  • 50–60 hours of effort a week
  • 10–12 month program
  • No alumni support
  • Live class with teachers
  • Industry-aligned curriculum, no accreditation
  • Active placement support

ONLINE

Degrees

Just a diploma

  • 30–40 hours of effort a week
  • 12–18 month program
  • No alumni support
  • Live class with teachers
  • College curriculum, not industry aligned
  • Access to job boards

ONLINE

Certifications

Low impact

  • 3–8 hours of effort a week
  • 1–2 month program
  • No alumni support
  • No live class
  • Only specific topics in the curriculum
  • No placement support

QUESTIONS

Before you
enrol.

Another question?

Ready to transform
your career?

Data Engineering Pro: 3 months, 10 modules, ₹2,499. Enrolment is open.

Talk to a counsellor