What does a GCP data engineer do? A Google Cloud Platform (GCP) Data Engineer plays a crucial role in designing, implementing, and managing data processing systems on the GCP infrastructure. The primary responsibilities of a GCP Data Engineer revolve around building scalable and reliable data pipelines, managing data storage and processing, and enabling organizations to derive valuable insights from their data. Here are the key tasks and responsibilities associated with the role. - Google Cloud Data Engineering Course
1. Designing Data Architectures: •
Data Pipeline Design: Designing and implementing data pipelines to move, transform, and process data from source to destination.
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Schema Design: Creating and optimizing database schemas for efficient data storage and retrieval. - GCP Data Engineering Training
2. Building and Managing Data Pipelines: •
ETL (Extract, Transform, Load): Implementing ETL processes to extract data from various sources, transform it into a suitable format, and load it into destination systems.
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Streaming Data Processing: Developing real-time data processing pipelines for handling streaming data.
3. Working with GCP Data Services: