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Roles and Responsibilities:
Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP).
Implement data processing solutions using GCP services such as BigQuery, Python, Dataproc, Dataflow, Pub/Sub, and Cloud Storage, Cloud Function and other GCP services.
Optimize data processing and storage for performance, cost, and scalability in GCP BQ.
Ensure data quality and integrity by implementing best practices for data governance and monitoring.
Develop and maintain documentation for data pipelines, and ETL Pipeline processes.
Stay up-to-date with the latest advancements in data engineering and GCP technologies.
Proven experienc...
About the Role
Description
We are looking for a Google Cloud Lead Data Engineer, They will be responsible for building a solid Data Integration pipelines by integration various source data which will enable data delivery in near real-time using next-gen technologies.Title: Google Cloud Lead Data EngineerRoles and Responsibilities:
Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP).
Implement data processing solutions using GCP services such as BigQuery, Python, Dataproc, Dataflow, Pub/Sub, and Cloud Storage, Cloud Function and other GCP services.
Optimize data processing and storage for performance, cost, and scalability in GCP BQ.
Ensure data quality and integrity by implementing best practices for data governance and monitoring.
Develop and maintain documentation for data pipelines, and ETL Pipeline processes.
Stay up-to-date with the latest advancements in data engineering and GCP technologies.
Proven experienc...
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