A Data Engineer is a specialist who is involved in the development and management of data infrastructure for the collection, processing, storage, and analysis of large volumes of data.

What does a Data Engineer do:

• Data collection system design: A Data Engineer develops the architecture and configuration of the system that collects data from various sources, such as databases, IoT sensors, web services, etc.

• Data processing and cleansing: They create processes for processing and cleansing raw data, including removing duplicates, fixing errors, converting formats, etc.

• Database management: A Data Engineer selects and configures databases for storing and organizing data, such as relational databases, NoSQL databases, data warehouses, etc.

• ETL process development: They create and optimize Extract, Transform, Load (ETL) processes that move data from one source to another.

• Deployment and management of data infrastructure: A Data Engineer manages the data infrastructure, including configuring and scaling computational resources, containerization, container orchestration, etc.

• Data security: They develop and implement data security mechanisms such as encryption, access control, data monitoring, and auditing.

A Data Engineer is a key figure in the data team, ensuring the reliability, performance, and security of the data infrastructure for analytics and machine learning.