Become a Data Engineer

Colleagues, this Data Engineer program will equip you to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. ZipRecruiter estimates average US Data Engineers’ salaries at $121,938. To be successful in this program, you should have intermediate Python and SQL Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. At the end of the program, you’ll combine your new skills by completing a capstone project. Training modules - each with a hands-on project - include: 1) Data Modeling - create relational and NoSQL data models to fit the diverse needs of data consumers. Use ETL to build databases in PostgreSQL and Apache Cassandra), 2) Cloud Data Warehouses - acquire data warehousing skills and deepen your understanding of data infrastructure. Create cloud-based data warehouses on Amazon Web Services - AWS (Project: Build a Cloud Data Warehouse), 3) Spark and Data Lakes - understand the big data ecosystem and how to use Spark to work with massive datasets. Store big data in a data lake and query it with Spark (Project: Bulk a Data Lake), 4) Data Pipelines with Airflow - schedule, automate, and monitor data pipelines using Apache Airflow. Run data quality checks, track data lineage, and work with data pipelines in production (Project: Data Pipelines with Airflow), and 5) Capstone Project - combine what you've learned throughout the program to build your own data engineering portfolio project.

Enroll today (eams & execs welcome): https://tinyurl.com/mtfdt7yv 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy