Data Analysis Job Market Trends

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

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.

An expert in creating data visualizations using Tableau software to help organizations understand complex data. Primarily focuses on dashboard development, data analysis, and data reporting.

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.

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.

Responsible for designing, developing, and maintaining systems that consolidate data from multiple sources. Key to ensuring data consistency, accessibility, and interoperability across organizational platforms and applications.

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