Data Analysis Job Market Trends

A fast DataFrame library for Python, designed for efficient data manipulation and analysis.

A platform that provides tools and infrastructure for managing and analyzing data for 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.

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.

Works closely with clients to develop and implement software solutions, often on-site, ensuring they meet specific needs and requirements.

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

A specialist in developing and maintaining applications on mainframe computers, ensuring the efficient operation of critical systems. Essential for legacy systems in industries like finance and healthcare.

A Python API for Apache Spark, enabling large-scale data processing and analytics using Python.

An open-source columnar database management system designed for online analytical processing (OLAP) and real-time analytics.