Learn to build and maintain the infrastructure and architecture for data generation, storage, and processing. This Data Engineer Career Path is your step-by-step roadmap to go from beginner (at any age!) to getting hired as a Data Engineer.
- Become a top Data Engineer that gets hired this year
- Focus on building and maintaining the infrastructure and architecture for data generation, storage, and processing
- Learn about Data Engineering and how tools like Hadoop, Apache Spark, Apache Flink, Airflow, Kafka, and Spark ML are used in the industry
- Design data pipelines that facilitate the flow of data from various sources to storage systems and learn to build Data Lakes with AWS
- How to ace all of your interviews, get more job offers and a higher salary
