Learn SQL
Learn Python
Learn basic data structures and algorithms
Learn Linux and command line
Learn version control with Git
Learn databases and data modeling
Learn ETL and ELT concepts
Learn data warehousing
Learn cloud platforms like AWS, Azure, or GCP
Learn distributed computing tools like Spark
Learn orchestration tools like Airflow
Learn data pipeline design
Learn API integration
Learn batch and streaming data processing
Learn data quality and validation
Learn monitoring and logging
Build projects with real datasets
Practice working with large data systems
Learn containerization with Docker
Learn basic networking and system concepts
Study security and access control
Get familiar with CI/CD for data workflows
Create a portfolio of data engineering projects
Apply for internships or entry-level roles
Keep learning new tools and best practices