What is the difference between data engineering and data science?

What is the difference between data engineering and data science?

Data engineering focuses on building and maintaining the infrastructure for data generation, while data science involves analyzing and interpreting that data to extract insights.

Can you give examples of tasks for each role?

Sure! Data engineers might work on data pipelines and database management, while data scientists might perform statistical analysis and create machine learning models.

Which role is more in demand right now?

Both roles are in high demand, but data science often gets more attention due to its direct impact on business decisions and insights.

What skills are essential for each role?

Data engineers typically need skills in SQL, ETL processes, and cloud services, while data scientists should be proficient in statistics, programming (like Python or R), and machine learning.