Looking for guidance
I want to switch my role to Data Engineer and would appreciate guidance from people in the data engineering industry.
Skills I currently have:
Database:
SQL Server, good with both theory and practical concepts
Studied SQL up to an advanced level and practiced on LeetCode
Data Warehouse:
Basic understanding
Built one project for practical experience
DSA:
I’ve been coding in Java and feel comfortable with it. Planning to continue DSA in Java
Would like to know how much DSA is required for Data Engineering and if there’s a specific list/topics I should cover
Cloud:
Completed Stephan Maarek’s Cloud Practitioner course. Planning to revisit and strengthen concepts again
Python:
Basic knowledge (Beginner)
Planning to start learning:
Spark
Airflow
Please also suggest good learning resources/material for Spark and Airflow.
Please let me know:
What more I need to do
What can be dropped
What type of projects I should add to strengthen my profile