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PrakalpanaLive online tech training
📊Data EngineeringIntermediate to Advanced

Data Engineering

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)1,300+95h • 14 weeks

Course Curriculum

1
SQL, Python & Data Modelling3 weeks
  • Advanced SQL
  • Window Functions
  • Python for ETL
  • Dimensional Modelling
  • Normalization & Star Schema
2
Apache Spark3 weeks
  • Spark Architecture
  • RDDs & DataFrames
  • Spark SQL
  • Performance Tuning
  • Structured Streaming
3
Streaming with Kafka2 weeks
  • Kafka Fundamentals
  • Producers & Consumers
  • Kafka Connect
  • Schema Registry
  • Stream Processing
4
Orchestration & Warehousing3 weeks
  • Airflow DAGs
  • Snowflake
  • BigQuery
  • dbt Models
  • Data Quality Testing
5
Cloud Data Platform Capstone3 weeks
  • Data Lakes
  • Lakehouse Architecture
  • CI/CD for Data
  • Cost Optimization
  • End-to-End Pipeline Project
📊

Data Engineering

14 weeksIntermediate to Advanced

Live Online + 1-on-1 Training
  • 95+ hours live content
  • 14 weeks duration
  • 7 hands-on projects
  • Certificate included
  • Doubt support
  • Lifetime access
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✅ Lifetime access • ✅ Job assistance

❓ FAQ

Frequently Asked Questions

Common questions about Data Engineering

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 95+ hours of content across 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 95+ hours of hands-on content. 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 (₹10-28 LPA), Senior Data Engineer (₹25-55 LPA), Analytics Engineer (₹15-35 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.

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