Data Engineer Co-created with Insight
Skills Covered: Data Modeling, Data Pipelines, Data Lakes, Spark, Airflow, Cloud Data Warehouses, Spark and Data Lakes, Data Pipelines with Airflow
ABOUT THIS NANODEGREE
The Data Engineer is a perfect introduction to how the data engineering world works. You will understand how important proper data handling is.
You will learn how to design data models and build data warehouses (cloud-based), as well as data lakes (when you store massive datasets that you want to query with Spark). Big Data is also crucial – once you master it, you will be ready to start your career in the data engineering field. Experts will show you how to use ETL to build databases in Apache Cassandra and PostgreSQL. At the end of the program, you will have to combine everything you have learned during the course and build your own data engineering portfolio project.
The course takes around 5 months to complete. If you want to succeed in this program, prior experience with Python and SQL is required (intermediate level).
The average base pay for a Data Engineer in the U.S. is $115k!