People Technology Sr Integration Engineer

Key Responsibilities Full-Lifecycle Development: Act as the primary developer for all integration requirements. You will build, test, and deploy changes to the business logic, ensuring data accuracy and system integrity. End-to-End Orchestration: Manage the complete "Trigger-to-Delivery" workflow. This includes maintaining the schedules (Cloud Scheduler), the logic/transformations, and the secure transport. Cloud Modernization: Lead the migration from legacy .NET scheduled tasks to GCP Application Integration and BigQuery-centric workflows. Confidential Data Security: Architect and support highly secure pipelines for PII data. You will implement PGP encryption, manage SSH keys via GCP Secret Manager, and ensure "Privacy by Design." Production Support & Reliability: Provide Tier-3 support for the integrations you build. You will monitor job success, troubleshoot failures, and ensure the reliability of daily/weekly scheduled transfers. Innovation: As the GCP foundation stabilizes, you will develop Autonomous AI Agents (Vertex AI) to interact with our data layers to automate complex business queries. Experience & Skill Set Enterprise Integration: Typically requires 5+ years of experience in enterprise data orchestration, or a demonstrated mastery of complex middleware environments. Legacy Proficiency: Deep experience in C# / .NET, Quartz.NET for job scheduling, EF Core for data persistence, and SAP Cloud Integration (CPI/CI) iflows, Groovy Scripting for complex data transformations. Cloud Native Fluency: Proven ability to build within the GCP ecosystem (BigQuery, Cloud Storage). Experience with low-code tools like GCP Application Integration is highly preferred. Security Expertise: Expert-level knowledge of PGP encryption, SFTP, SSH, and handling sensitive/confidential data within cloud environments. Ownership Mindset: Experience in a role that requires both "Building" (Development) and "Running" (Support/Maintenance).