AI for Data Engineers

AI you can use for this job

85 matched to the tools data warehousing specialists use. Showing 24.

• PostgreSQL

  MCP server

  PostgreSQL is a powerful, open-source database engine with a uniquely advanced query optimizer and dozens of built in features, making it an easy choice for production databases.

  PostgreSQL

• Microsoft Outlook

  MCP server

  Microsoft Outlook is a web-based suite of webmail, contacts, tasks, and calendaring services.

  Microsoft Outlook

• Microsoft Power Bi

  App

  Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Microsoft Power Bi MCP or direct API to list workspaces, inspect reports, refresh datasets, and summarize dashboard insights through natural language.

  Make (make.com)

• MySQL

  MCP server

  MySQL is a premier database used in millions of production environments around the world. Easily plug your MySQL database into any web service.

  MySQL

• Tableau

  App

  Tableau is a business intelligence and analytics platform that enables users to connect to databases, create data visualizations, and share insights. The platform offers deployment options including cloud-based, self-hosted, and desktop environments with drag-and-drop functionali

  Make (make.com)

• Tableau

  MCP server

• Amazon Redshift

  App

  Make (make.com)

• Amazon S3

  App

  Amazon S3 is a simple storage service that helps developers and IT teams store, backup, archive and retrieve data from anywhere across the web. It allows administrators to store data in buckets, append tags to objects, configure access controls for several clients, conduct high-v

• Atlassian Confluence

  MCP server

• Azure DevOps

  App

  Make (make.com)

• HRnest

  App

  HRnest is a human resource management software designed to help assist businesses with employee scheduling, leave requests, time tracking, onboarding, document circulation, and more from within a unified platform. Staff members can receive email notifications about changes in tim

• Microsoft Excel

  MCP server

  Microsoft's Excel is a spreadsheet application used by millions of users across the world. It is part of the Office ecosystem and is considered the industry standard for spreadsheets. Only files on OneDrive for Business (available with Office 365 and Sharepoint server) are su

  Microsoft Excel

• Microsoft Power BI

  MCP server

  Microsoft Power BI is a business analytics platform for visualizing data and sharing insights.

  Microsoft Power BI

• Microsoft Word

  MCP server

• MongoDB

  App

  AI demands adaptability. MongoDB offers flexible, scalable, AI-ready data solutions, eliminating friction and accelerating innovation.

  Make (make.com)

• Mongodb

  MCP server

• MySQL

  App

  Make (make.com)

• Office Powerpoint

  MCP server

• PostgreSQL

  App

  Make (make.com)

• Powerpoint

  MCP server

• AWS S3

  App

  Make (make.com)

• Amazon DynamoDB

  App

  Make (make.com)

• Amazon Redshift

  MCP server

  Amazon Redshift is a fast, scalable data warehouse that makes it simple and cost-effective to analyze all your data across your data warehouse and data lake.

  Amazon Redshift

• Amazon S3

  MCP server

  Amazon Simple Storage Service is a fully redundant data storage system. It makes it easy to store and retrieve any amount of data, anytime, from anywhere.

  Amazon S3

The tools this job actually uses

159 documented for this occupation. Showing 40, hot technologies first. A filled dot means an AI solution exists for it.

• Amazon DynamoDBhot
• Amazon Elastic Compute Cloud EC2hot
• Amazon Redshifthot
• Amazon Web Services AWS softwarehot
• Apache Cassandrahot
• Apache Hadoophot
• Apache Hivehot
• Apache Kafkahot
• Apache Sparkhot
• Apache Subversion SVNhot
• Apple macOShot
• Atlassian JIRAhot
• Bashhot
• Chot
• Chot
• Chot
• Eclipse IDEhot
• ESRI ArcGIS softwarehot
• Extensible markup language XMLhot
• IBM SPSS Statisticshot
• Informatica softwarehot
• Linuxhot
• Microsoft Accesshot
• Microsoft Azure softwarehot
• Microsoft Excelhot
• Microsoft .NET Frameworkhot
• Microsoft Office softwarehot
• Microsoft Outlookhot
• Microsoft Power BIhot
• Microsoft PowerPointhot
• Microsoft Projecthot
• Microsoft SharePointhot
• Microsoft SQL Serverhot
• Microsoft SQL Server Integration Services SSIShot
• Microsoft SQL Server Reporting Services SSRShot
• Microsoft Visiohot
• Microsoft Visual Basichot
• Microsoft Visual Studiohot
• Microsoft Windowshot
• Microsoft Wordhot

What this job involves

18 documented tasks, most important first. Showing 18.

1. Develop data warehouse process models, including sourcing, loading, transformation, and extraction.
2. Verify the structure, accuracy, or quality of warehouse data.
3. Map data between source systems, data warehouses, and data marts.
4. Develop and implement data extraction procedures from other systems, such as administration, billing, or claims.
5. Design and implement warehouse database structures.
6. Develop or maintain standards, such as organization, structure, or nomenclature, for the design of data warehouse elements, such as data architectures, models, tools, and databases.
7. Provide or coordinate troubleshooting support for data warehouses.
8. Write new programs or modify existing programs to meet customer requirements, using current programming languages and technologies.
9. Design, implement, or operate comprehensive data warehouse systems to balance optimization of data access with batch loading and resource utilization factors, according to customer requirements.
10. Perform system analysis, data analysis or programming, using a variety of computer languages and procedures.
11. Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow.
12. Create or implement metadata processes and frameworks.
13. Review designs, codes, test plans, or documentation to ensure quality.
14. Create plans, test files, and scripts for data warehouse testing, ranging from unit to integration testing.
15. Select methods, techniques, or criteria for data warehousing evaluative procedures.
16. Implement business rules via stored procedures, middleware, or other technologies.
17. Prepare functional or technical documentation for data warehouses.
18. Test software systems or applications for software enhancements or new products.