Google Cloud Data Engineer

Key Responsibilities :

• Design and develop scalable ETL / ELT pipelines using Dataflow, Dataproc, Apache Beam, Cloud Composer (Airflow) , and other GCP services.
• Build and maintain data lakes and data warehouses using BigQuery , Cloud Storage , and Cloud SQL / Spanner .
• Implement and optimize data ingestion from a variety of structured and unstructured sources using GCP-native tools and APIs.
• Work with Pub / Sub , Cloud Functions , and Eventarc for real-time data processing and streaming pipelines.
• Ensure data governance , quality , and security using best practices for IAM, encryption, data cataloging, and auditing.
• Collaborate with stakeholders to gather requirements, define data models, and deliver insights via BI tools.
• Automate workflows and monitoring using tools like Cloud Monitoring , Logging , and Terraform or Deployment Manager .
• Stay current with the latest GCP tools, features, and trends in cloud data engineering.

Qualifications and Requirements :

Skills Required

AWS Devops, BigQuery, Python, Sql, Java