Data Privacy Job Market Trends

Ensures that products meet security standards and regulations, protecting against vulnerabilities and threats.

The field of study that deals with the moral implications and responsibilities of artificial intelligence. It focuses on ensuring AI systems are designed and used in ways that adhere to ethical standards and benefit society.

Responsible for monitoring, detecting, and preventing data loss incidents within a company. Utilizes specialized software tools to ensure sensitive data remains secure.

A machine learning approach where models are trained across multiple decentralized devices without sharing raw data.

Refers to data that is distributed across multiple locations or systems, rather than being stored in a central repository.

Artificially generated data used to train AI models, often employed when real data is scarce or sensitive.

Designs and develops application programming interfaces (APIs), enabling different software systems to communicate and interact with each other.

Specializing in the construction and maintenance of scalable data architectures, Data Platform Engineers utilize big data technologies to enhance analytics and business intelligence capabilities.

Focuses on designing and building data infrastructure to support analytics and processing of large data sets. Plays a key role in optimizing data pipelines and creating robust data environments.