Google Cloud Platform Data Engineer Google cloud

• 5+ years handson Google Cloud Platform (Google Cloud Platform)
• Strong in BigQuery, Data Fusion, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud Storage
• Deep experience building ETL/ELT pipelines, data ingestion, orchestration, and analytics workflows
• Strong Python + SQL for cloud-native development
• Experience with Cloud Functions, Cloud Run, Cloud SQL
• Strong DevOps/SecOps, CI/CD, Git-based deployments
• Experience with IaC, automation, monitoring, logging, cloud governance
• Strong understanding of data warehousing, lakehouse, distributed processing, metadata management

Core Responsibilities

• Design, build, administer, and optimize enterprise Google Cloud Platform environments
• Build scalable data pipelines and analytics platforms
• Implement DevOps/CI/CD and cloud automation
• Ensure security, IAM, governance, monitoring, and cost optimization
• Support cloud modernization and enterprise data platform initiatives

Nice to Have

• Multi-cloud exposure (AWS, OCI)
• Experience with Snowflake, Databricks, Spark, Kafka, Airflow, Terraform, Docker, Kubernetes
• AI/ML or Vertex AI exposure

Preferred Certifications

• Google Professional Cloud Architect / Data Engineer
• Google Associate Cloud Engineer
• Google Cloud Platform DevOps Engineer
• AWS / OCI / Snowflake / Databricks certifications

Best Wishes,

Dany|Recruiter|Sunray Informatics Inc