Designing Data Pipelines: Build and manage batch and real-time streaming pipelines using Google Cloud Dataflow| Pub/Sub| and Apache Beam to move data smoothly. Data Warehousing & Storage: Create scalable data systems using BigQuery for analytics and Cloud Storage or Bigtable for cost-effective data storage and archiving.Managing Data Platforms: Schedule and automate data workflows and ETL (Extract| Transform| Load) processes using tools like Cloud Composer (Apache Airflow) and Cloud Data Fusion.Big Data Processing: Run large-scale open-source frameworks like Apache Spark and Hadoop using Dataproc.Data Governance & Security: Maintain data quality| consistency| access controls| and encryption standards across Google Cloud services.Supporting AI & Analytics: Prepare clean| reliable datasets for business intelligence dashboards| data scientists| and machine learning models
Essential Skills: A Google Cloud (GCP) Data Engineer designs| builds| and manages robust data processing systems| pipelines| and infrastructure using Google Cloud tools.
Desirable Skills
Keyword
Skills: Digital : PythonDigital : NOSQLDigital : Google Cloud