Databricks Beginners Program
Build a strong foundation in Apache Spark, Hive, SQL and Python for modern data engineering.
Build practical cloud data engineering skills across Azure, Databricks, Microsoft Fabric, Azure Data Factory, SQL and project-based implementation.
Eligibility
Any Degree
Learning Style
Practical & Project Based
Career Support
Placement Assistance
Outcome
Career Preparation
Move from fundamentals to advanced cloud data engineering by progressing through the technology tracks that matter most.
Build a strong foundation in Apache Spark, Hive, SQL and Python for modern data engineering.
Move into Delta-oriented data engineering concepts and practical pipeline development.
Develop advanced cloud data engineering and production-oriented implementation skills.
Learn modern Microsoft Fabric concepts and end-to-end data platform workflows.
Build practical ETL and orchestration workflows using Azure Data Factory.
A structured pathway covering core concepts, modern cloud platforms, projects and career preparation.
Azure Data Engineer
Career Direction
Cloud Data Engineer
Career Direction
Databricks Engineer
Career Direction
Data Platform Engineer
Career Direction
ETL Developer
Career Direction
Fabric Data Engineer
Career Direction
The program also includes resume preparation, project presentation and mock interview support so students can approach career opportunities with stronger preparation.
Learning → Projects → Career
Practical Skills
Career Preparation
Explore the program, understand the curriculum and speak with an MMIT career counsellor about your next step.
Career Help
Talk to MMIT about your career path.