⚡Intermediate
Apache Spark
Process Big Data at Lightning Speed
6 weeks Live online
4.8(260)900+ learners
Fees on request
View📊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+ students1,300+95 hours • 14 weeks95h • 14 weeks
Course Curriculum
1SQL, Python & Data Modelling3 weeks
- Advanced SQL
- Window Functions
- Python for ETL
- Dimensional Modelling
- Normalization & Star Schema
2Apache Spark3 weeks
- Spark Architecture
- RDDs & DataFrames
- Spark SQL
- Performance Tuning
- Structured Streaming
3Streaming with Kafka2 weeks
- Kafka Fundamentals
- Producers & Consumers
- Kafka Connect
- Schema Registry
- Stream Processing
4Orchestration & Warehousing3 weeks
- Airflow DAGs
- Snowflake
- BigQuery
- dbt Models
- Data Quality Testing
5Cloud Data Platform Capstone3 weeks
- Data Lakes
- Lakehouse Architecture
- CI/CD for Data
- Cost Optimization
- End-to-End Pipeline Project
📊
Data Engineering
14 weeks • Intermediate 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
✅ Lifetime access • ✅ Job assistance
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❓ 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.
Data Engineering training, near you
Live online & 1-on-1 · available in 79+ cities
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