Data Engineering
Every AI model, every dashboard, every data-driven decision depends on clean, reliable data pipelines. Data Engineers are the unsung heroes who make it all possible. This course teaches you to design, build, and maintain the data infrastructure that modern companies desperately need—a skill set that commands premium salaries globally.
Course Highlights
- Hands-on with industry tools
- AWS cloud credits included
- Real company data projects
- Interview prep with mock sessions
- LinkedIn profile optimization
- Direct referrals to hiring partners
Available Schedules
What You'll Learn
By the end of this course, you'll have the skills and confidence to tackle real-world challenges.
- Design scalable data architectures
- Build production-grade ETL pipelines
- Work confidently with Spark and Airflow
- Manage data on cloud platforms (AWS)
- Handle datasets of any size
- Clear data engineering interviews
Before You Start
Make sure you have these basics covered to get the most out of this course.
- Basic Python programming (our Python course or equivalent)
- Familiarity with SQL queries
- Understanding of databases
- Laptop with 8GB+ RAM recommended
Detailed Curriculum
6 modules covering everything you need to know
- Advanced queries & joins
- Window functions
- Query optimization
- Database design principles
- PostgreSQL deep dive
- Project: Analytics Dashboard
- Pandas for data manipulation
- NumPy fundamentals
- Data cleaning techniques
- Working with JSON/CSV/Parquet
- API data extraction
- Project: ETL Pipeline
- Introduction to distributed systems
- Apache Spark core concepts
- PySpark programming
- Handling large datasets
- Data partitioning
- Project: Process 10GB Dataset
- Apache Airflow fundamentals
- Building DAGs
- Scheduling & dependencies
- Monitoring & alerting
- Error handling patterns
- Project: Automated Daily Pipeline
- AWS S3, Redshift, Glue
- Data warehousing concepts
- Cost optimization
- Security best practices
- Project: Cloud Data Lake
- End-to-end pipeline project
- System design interviews
- Resume & portfolio review
- Mock technical interviews
- Graduation & networking
Frequently Asked Questions
Data Scientists analyze data to find insights. Data Engineers build the systems that collect, store, and deliver that data. Think of it this way: Data Engineers build the kitchen, Data Scientists cook the meals. Both are essential, but Data Engineering has fewer practitioners and higher demand.
Yes, you need basic Python skills—loops, functions, working with files. If you're not there yet, take our Python course first. We offer a combined discount if you enroll in both.
Absolutely. Data Engineering is one of the most remote-friendly roles. Many of our graduates work for international companies from Pokhara, earning in USD. The skills you learn here are globally standard.
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Ready to Master Data Engineering?
Join our next batch and take the first step towards a rewarding career. Limited seats available!