Data Engineering Job Market Trends

An in-process SQL OLAP database management system designed for analytical query workloads, known for its performance and efficiency.

A vector database that enables the storage, indexing, and querying of high-dimensional vector data, often used in machine learning applications.

A company that provides data annotation services for machine learning models, specializing in image, text, and video datasets. Their platform enables organizations to efficiently and accurately label data for AI model training.

A suite of tools and models for working with LLMs, offering capabilities for fine-tuning, querying, and managing large language models.

Refers to the hardware and software systems that support the development, deployment, and operation of artificial intelligence applications.

A professional responsible for managing the relocation of data, systems, or applications from one environment to another. Ensures the process is seamless, efficient, and minimizes downtime or data loss.

Responsible for moving data between systems, ensuring accuracy and integrity during the process. Key to system upgrades and integrations within organizations.

Develops and implements AI models and algorithms to solve complex problems and improve decision-making processes. Essential for advancing automation and technology-driven solutions in various industries.

A data architecture combining features of data lakes and data warehouses to support both analytical and transactional workloads. Allows for efficient multi-modal data processing and storage with unified governance.