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

1. GCP Data Services: BigQuery, Cloud Storage, Dataproc, Cloud Composer
2. ETL/ELT Pipelines: End-to-end pipeline design, development and orchestration
3. Terraform / IaC: GCP provisioning, modules and state management
4. Python: Data processing and transformation
5. Data Modeling: Warehousing schemas and analytics/reporting models
6. API & Nested Data: API ingestion, flattening and complex dataset transformations
7. Data Quality & Migration: Historical loads, reconciliation, validation and row-count checks
8. 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

Positive to Have
- Vertex AI and GCP Machine Learning
- CI/CD and automated infrastructure deployment

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