Big Data engineers have a wide variety of tasks to perform, and they have to learn many skills to perform those tasks.
Following are some core skills/subjects every data engineer must know to perform their tasks:
Data pipeline
A data pipeline is a collection of tools and methods for transferring data from one system to another for storage and processing. It collects data from several sources and stores it in a database, another tool, or an app, giving data scientists, BI engineers, data analysts, and other teams quick and dependable access to this combined data.
Data engineering is primarily responsible for constructing data pipelines.
Designing a program for continuous and automated data interchange necessitates considerable programming skills.
ETL
Pipeline infrastructure varies in size and scope based on the use case.
Data engineering, on the other hand, frequently begins with ETL operations:
- Extracting data
- Transforming it
- Loading it again