Data Engineering Job Market Trends

A vector database designed for complex data retrieval and analysis. Used extensively in applications that require high-performance data science capabilities.

Specializes in configuring and managing Splunk software to aggregate and analyze log data. Helps organizations gain insights and improve system performance through real-time monitoring.

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 professional specializing in the implementation and optimization of Splunk software solutions. They help organizations leverage data insights for improved decision-making and operations.

Responsible for managing and maintaining PostgreSQL databases. Ensures data availability, performance, and security within organizations.

A Python library for manipulating PDF files, providing features like merging, splitting, and transforming PDFs. Utilized for handling PDF documents in diverse applications and workflows.

A programming specialist focused on developing high-performance analytical systems using the Kdb database and q language. Essential in financial services for handling time-series data efficiently.

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.