Data Automation Engineer

Job Summary

A company is looking for a GenAI Data Automation Engineer to design and implement AI-driven automation solutions across AWS and Azure environments.

Key Responsibilities

• Design and maintain data pipelines in AWS and develop ETL/ELT processes for data movement
• Integrate various data sources into enterprise data pipelines and enhance ingestion pipelines using real-time processing tools
• Implement CI/CD best practices and ensure security and compliance for data pipelines and AI models

Required Qualifications

• BS in Computer Science or related field with 2+ years of data engineering or automation experience
• Hands-on experience with Generative AI frameworks and AWS services
• Proficiency in SQL, Python, Bash, and PowerShell
• Experience with large-scale ingestion tools and REST API integration
• US Citizenship and ability to obtain Public Trust clearance