Data Modeling Job Market Trends

A data validation library for Python popular for its ease of use and efficiency. It ensures data remains consistent and correct when utilized in applications.

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

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.

Specializes in designing and managing data architectures and pipelines on Amazon Web Services' cloud platform. Focuses on efficient data handling, storage, and retrieval solutions for large-scale applications.

Focuses on designing and implementing data schemas that support analytical reporting and data-driven decision making. Ensures data integrity and optimal extraction, transformation, and loading processes.

A professional specializing in the development of applications using Microsoft's Power Platform suite, which includes tools like PowerApps, Power Automate, and Power BI. This role focuses on enabling business process automation and data-driven decision-making through custom solutions.

An open-source analytics engineering tool used to transform raw data into structured data models for analysis. It simplifies the process of data transformation and modeling by allowing users to write transformations in SQL.

Specializes in designing and implementing solutions using Microsoft's Power Platform suite. Bridges business needs with technical solutions to deliver effective and scalable applications.

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.