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PrakalpanaLive online tech training
πŸ“Š Data EngineeringIntermediate to AdvancedNew batch enrolling

Data EngineeringData Engineering course online, live classes with certification & placement support

Build Scalable Big Data Pipelines

Become a Data Engineer. Master SQL, Python, data modelling, Apache Spark, Kafka, Airflow, data warehousing (Snowflake/BigQuery), and build production ETL/ELT pipelines on the cloud.

4.9(410 reviews)1,300+ learnersπŸŽ“ Certificate of completion

What you'll learn

Data Engineering skills you'll master

By the end of this 14 weeks program you'll be able to:

  • Design dimensional and normalized data models
  • Write performant SQL and Python for data
  • Build batch & streaming pipelines with Spark
  • Stream events with Kafka
  • Orchestrate workflows with Airflow
  • Model warehouses with dbt on Snowflake/BigQuery
  • Ship production-grade ETL/ELT on the cloud

Tools & technologies covered

  • SQL
  • Python
  • Apache Spark
  • Kafka
  • Airflow
  • Snowflake
  • dbt
  • Data Modelling

Syllabus

Data Engineering course syllabus

5 modules Β· 25 topics Β· 14 weeks of live training. Updated for 2026.

  1. 01

    SQL, Python & Data Modelling

    3 weeks Β· 5 topics
    • Advanced SQL
    • Window Functions
    • Python for ETL
    • Dimensional Modelling
    • Normalization & Star Schema
  2. 02

    Apache Spark

    3 weeks Β· 5 topics
    • Spark Architecture
    • RDDs & DataFrames
    • Spark SQL
    • Performance Tuning
    • Structured Streaming
  3. 03

    Streaming with Kafka

    2 weeks Β· 5 topics
    • Kafka Fundamentals
    • Producers & Consumers
    • Kafka Connect
    • Schema Registry
    • Stream Processing
  4. 04

    Orchestration & Warehousing

    3 weeks Β· 5 topics
    • Airflow DAGs
    • Snowflake
    • BigQuery
    • dbt Models
    • Data Quality Testing
  5. 05

    Cloud Data Platform Capstone

    3 weeks Β· 5 topics
    • Data Lakes
    • Lakehouse Architecture
    • CI/CD for Data
    • Cost Optimization
    • End-to-End Pipeline Project

Want the detailed Data Engineering syllabus PDF and batch timings?

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Is this for you?

Who should join this Data Engineering course

βœ… Ideal for

  • Basic programming knowledge (any language)
  • Familiarity with databases helps
  • Logical and analytical mindset

πŸ“‹ Prerequisites

  • Basic SQL and Python (or willingness to ramp up)
  • Understanding of basic data concepts
  • A laptop with internet access

πŸ† What you'll be able to do after the course

  • Build end-to-end data pipelines
  • Model and optimize cloud data warehouses
  • Handle batch and real-time data at scale
  • Crack Data Engineer interviews

How the training works

  1. 1

    Free demo

    Meet your trainer, see the teaching style and ask anything.

  2. 2

    Live classes

    Interactive online sessions with screen sharing and instant doubt clearing.

  3. 3

    Build projects

    Hands-on assignments and real-world projects reviewed by mentors.

  4. 4

    Get placed

    Resume review, mock interviews and job referrals to hiring partners.

Career outcomes

Jobs & salaries after the Data Engineering course

Typical roles and salary ranges in India for these skills.

Data Engineer

β‚Ή10-28 LPA

Companies hiring

  • Walmart
  • PhonePe
  • Swiggy

Senior Data Engineer

β‚Ή25-55 LPA

Companies hiring

  • Amazon
  • Netflix
  • Uber

Analytics Engineer

β‚Ή15-35 LPA

Companies hiring

  • Razorpay
  • CRED
  • Meesho
Optional add-on Β· additional chargesFor working professionals

Already working? Add Data Engineering job support

Stuck on a real task at work? Alongside or after the course, get live one-on-one help from a senior Data Engineering engineer: debugging, guidance on your tickets and code reviews over screen share, scheduled around your shift.

  • On-demand

    For a single blocker or production issue

  • Part-time

    Weekly sessions with the same mentor

  • Full-time

    Daily help for a new job or big delivery

Job support is not included in the course fee and is charged separately based on the plan and hours.

Learner reviews

What learners say about the Data Engineering course

4.9

Rated 4.9 out of 5

Based on 410 reviews from 1,300+ learners

β€œThe Spark + Airflow + Snowflake combo is exactly what my job needed. Got placed before finishing!”
Harish MData Engineer at PhonePe
β€œdbt and data modelling modules are gold. Switched from analyst to data engineering.”
Divya NAnalytics Engineer at CRED
❓ FAQ

Frequently Asked Questions

Common questions about Data Engineering

Data Engineering course fees are shared on request, with flexible and EMI-friendly options, and depend on whether you choose the live batch or the 1-on-1 track. Call +91 9180377502 or WhatsApp us for current fees and offers.

This is a intermediate to advanced level course designed for: Basic programming knowledge (any language), Familiarity with databases helps, Logical and analytical mindset. If you're unsure whether you're ready, attend a free demo class and the trainer will assess your level.

Yes. You receive a Prakalpana certificate of completion after finishing the 14 weeks program and its 7 projects. The projects you build also go on your resume and GitHub.

Yes, as an optional add-on at additional charges. If you are already working and stuck on real tasks, a senior Data Engineering engineer can help you live over screen share with debugging, ticket guidance and code reviews, on-demand, part-time or full-time. Job support is not included in the course fee; WhatsApp +91 9180377502 for charges.

We run weekday and weekend live batches in IST to suit students and working professionals, plus batches timed for international time zones. The 1-on-1 track is scheduled around your availability.

In this course, you will learn: Design dimensional and normalized data models, Write performant SQL and Python for data, Build batch & streaming pipelines with Spark. The course covers 5 comprehensive modules.

The prerequisites for this course are: Basic SQL and Python (or willingness to ramp up), Understanding of basic data concepts, A laptop with internet access. If you're unsure about your current level, book a free demo session and our counselors will guide you.

The Data Engineering course is 14 weeks long with live, hands-on sessions. You'll work on 7 real-world projects. You also get lifetime access to all recordings and materials.

This course is taught live by experienced industry professionals who work hands-on with these technologies every day. You learn current, real-world practices with live mentorship, code reviews and an optional 1-on-1 track.

After completing the Data Engineering course, you can apply for roles like: Data Engineer (β‚Ή10-28 LPA), Senior Data Engineer (β‚Ή25-55 LPA), Analytics Engineer (β‚Ή15-35 LPA). Our students have been placed at companies like Walmart, PhonePe, Swiggy.

Yes! We provide comprehensive placement assistance including resume building, LinkedIn profile optimization, mock interviews (technical + HR), coding round preparation, and direct job referrals to our network of 100+ hiring partners. Our placement rate is 95%.

Yes, all training is 100% live online, with an optional 1-on-1 (1:1) track. You get live interactive sessions, screen sharing, instant doubt resolution, recorded sessions for revision, and full placement support.

All our courses are non-refundable. We encourage you to attend a free demo session before enrolling to ensure the course is right for you. In exceptional cases, one-time batch transfer may be allowed with management approval.

Still have questions?

Data Engineering course online: live classes, certification & placement support

Prakalpana's Data Engineering program is a complete Data Engineering course online, also searched as Big Data, Azure Data Engineering, AWS Data Engineering, ETL. Every batch is taught live by working engineers, with a 1-on-1 option, real projects, lifetime recordings and a certificate of completion.

It is built for freshers, career switchers and working professionals who want to become a data engineer, big data engineer, ETL developer. The Data Engineering syllabus covers fundamentals through advanced topics, followed by mock interviews, resume reviews and placement support.

Data Engineering course: quick facts

Data Engineering course fees

Fees are shared on request and depend on the live batch or 1-on-1 track, with flexible, EMI-friendly options. Call or WhatsApp +91 9180377502 for current fees.

Data Engineering course duration

14 weeks of live training (95+ hours) across 5 modules, plus lifetime access to recordings.

Data Engineering course syllabus 2026

Covers SQL, Python & Data Modelling, Apache Spark, Streaming with Kafka, Orchestration & Warehousing and more, updated for 2026.

Data Engineering certification

Earn a certificate of completion after the course and its 7 hands-on projects.

Data Engineering course for beginners & working professionals

Intermediate to Advanced level. Weekday and weekend live batches, plus a 1-on-1 track timed around your job.

Data Engineering jobs & salary in India

Roles like Data Engineer, Senior Data Engineer, Analytics Engineer. A Data Engineer typically earns β‚Ή10-28 LPA.

Questions about the data engineering course or the next batch? Book a free demo class or call / WhatsApp +91 9180377502.

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🧭 1-on-1 career counselling

Not sure what to do next?

Book a β‚Ή200 counselling session to discuss your situation with an industry mentor and get a personalised roadmap built for your needs, whether you're fresh out of college, restarting after a gap or choosing what to learn.

β‚Ή200 for 30 min Β· fixed price

  1. DiscussYour background, goals & gaps
  2. Personalised planExact skills, course & timeline
  3. StartKnow exactly what to do next