Data Engineering

Advanced Data Engineering with AWS & Databricks

Launch your career in Data Engineering with in-demand skills! This course is designed to equip you with the tools and knowledge that top companies are looking for — and help you confidently crack data engineering interviews.

What You’ll Learn:

1. Data Engineering Fundamentals

Understand the role of a data engineer vs. data scientist.

Explore cloud-based data architectures and modern tools for scalable data pipelines.

2. AWS for Data Engineering

Hands-on experience with AWS services like S3, Redshift, EMR, Lambda, and Glue.

Build cloud-native pipelines and deploy production-ready workflows.

3. Databricks & Big Data Processing

Master Apache Spark with Python (PySpark) and Scala.

Learn parallel processing, distributed computing, and optimization for big data.

Perform ETL operations on large datasets in Databricks.

4. ETL & Data Pipelines

Extract raw data from multiple sources, transform it efficiently, and load it into data warehouses.

Schedule and automate workflows using modern scheduling frameworks.

5. Python & Scala for Data Engineering

Develop strong coding skills for data transformation, pipeline development, and analytics.

Solve real-world data challenges using Python and Scala.

6. Real-World Projects & Case Studies

Transform raw course data into actionable insights like course recommendations.

Work with real datasets, cloud environments, and big data frameworks.

7. Interview Preparation

Focused modules to crack data engineering interviews: coding questions, scenario-based problem solving, and real-world case studies.

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Why become a Data Engineer?

DATA ENGINEERING IS HIGHLY IN-DEMAND

Organizations are drowning in data but starving for insights. Data engineers are critical to making data accessible and usable. Companies across every industry need skilled data engineers to build and maintain their data infrastructure.

FLEXIBILITY AND ENHANCED BENEFITS

Data engineers work with diverse technologies and industries, offering variety in daily work. Remote work is common in data engineering roles. Many positions offer competitive benefits packages including learning budgets for continuous skill development.

HIGH SALARY FOR DATA ENGINEERING JOBS

Data engineers command excellent compensation due to high demand and specialized skills. Entry-level positions start strong, with significant growth potential. Senior data engineers and architects earn top-tier tech salaries, often exceeding six figures.