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 environments 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

📌 Teradata Platform Engineer (Bengaluru)
🏢 CGI
📍 Bengaluru