I would suggest to incorporate some other important skills:
- OCR: A precise understanding of how OCR works when converting images to text. Ability to compare different OCRs. How image quality and preprocessing impacts on accuracy
- IDP (Intelligent Document Processing): Experience in DU and if possible another IDP is very important to be able to assess from the beginning of any document-based automation. Have a clear understanding of the advantages and disadvantages of working with rule-based (with or without fuzzy logic) or AI/ML capabilities
- Linux basic admin and console: Some integrations with Unix/Linux systems can easily achieved by remotely executing commands with SSH connector
- Cloud foundation of different services: storage buckets, cloud databases, load balancers
- Non-SQL databases: On-premise or cloud non SQL database knowledge like MongoDB
- Any other cloud service that might be helpful to include cognitive capabilities to your automation
- Server administration: It is a plus to assess sizing and monitor performance. Remember that you can create automation that can break other systems or load them above their capabilities.
Hope it helps!