Über
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 GCP 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 GCP DevOps Engineer AWS / OCI / Snowflake / Databricks certifications
Sprachkenntnisse
- English
Hinweis für Nutzer
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