Data Engineering: SQL (advanced), Python/PySpark, pipeline design, performance tuning, data quality controls

Data Warehousing: DWH design, dimensional modeling, distributed processing concepts,

BigQuery optimization Good-to-Have Skills Infrastructure as Code: Terraform or GCP Deployment Manager MLOps exposure: model lifecycle, CI/CD for ML, experiment tracking, deployment automation, monitoring (framework exposure) Domain Preference (Healthcare) Healthcare domain exposure is preferred;



Job Description: GCP Lead / Architect (Data Engineering)

Experience: 12+ years We are seeking a GCP Lead / Architect with a strong Data Engineering foundation to design and deliver secure, scalable, and cost-optimized data platforms on Google Cloud Platform (GCP).

The role requires hands-on expertise across IAM, VPC, GCS, BigQuery, Vertex AI, GKE, Compute Engine, GitHub Actions, and Dataproc, along with strong experience in data warehouse design, distrib...