Senior GCP Cloud Data Engineer — Brief JDExperience: 6+ years Role: Senior GCP Cloud Data Engineer Focus: GCP Data Engineering, ETL/ELT, BigQuery, Terraform, HR Analytics Key Skills — 8 Must-Haves
• GCP Data Services: BigQuery, Cloud Storage, Dataproc, Cloud Composer
• ETL/ELT Pipelines: End-to-end pipeline design, development and orchestration
• Terraform / IaC: GCP provisioning, modules and state management
• Python: Data processing and transformation
• Data Modeling: Warehousing schemas and analytics/reporting models
• API & Nested Data: API ingestion, flattening and complex dataset transformations
• Data Quality & Migration: Historical loads, reconciliation, validation and row-count checks
• SQL & Optimization: SQL Server, Teradata, MySQL, performance tuning and cost optimization Additional Requirements
• GCP IAM, security and access management
• Technical leadership and team mentoring
• Independent architectural and service-selection decisions
• Preferred: Google Cloud Professional Data Engineer / Cloud Architect certification Valuable to Have
• Vertex AI and GCP Machine Learning
• CI/CD and automated infrastructure deployment

📌 Senior GCP Cloud Data Engineer- 6+years (India)
🏢 MindBrain
📍 India