Role & responsibilities
Design, develop, and maintain Teradata platform engineering and data warehouse solutions.
Develop Python scripts for automation, platform management, and operational tasks.
Implement and maintain CI/CD pipelines for automated deployment and release management.
Automate infrastructure provisioning, configuration, and platform operations.
Manage and optimize Teradata settings to ensure performance, scalability, and reliability.
Develop automation solutions to reduce manual effort and improve operational efficiency.
Implement DevOps practices for continuous integration, continuous delivery, and infrastructure management.
Integrate AI-assisted development tools such as GitHub Copilot and Cursor AI into engineering workflows.
Work with MCP (Model Context Protocol)
and AI integration frameworks to enable tool integrations and automated workflows.
Monitor platform performance, troubleshoot issues, and perform root cause analysis.
Collaborate with data engineering, DevOps, and platform teams to improve engineering processes.
Follow security standards, coding practices, and platform reliability guidelines.
Preferred candidate profile
Teradata Platform Engineering
Teradata Database and Data Warehousing
Python Development and Scripting
Python Automation
DevOps Practices
CI/CD Pipeline Implementation
Infrastructure Automation
Platform Operations and Monitoring
Troubleshooting and Root Cause Analysis