Job Description
We are looking for a
GCP Data Engineer
to design, build, and maintain scalable data platforms on Google Cloud. The ideal candidate will have strong experience in automated data ingestion, analytics engineering, and MLOps, with the ability to support marketing analytics use cases and BI-driven decision making.
You will work closely with Data Science, Analytics, and Business teams to enable data-driven insights through robust pipelines, models, and reporting solutions.
You will:
Design, develop, and maintain automated data ingestion pipelines on Google Cloud Platform (GCP)
Build and optimize scalable data processing workflows using Spark / PySpark
Support data science team, including data preparation, feature engineering, and experimentation support
Develop, deploy, and maintain BI reporting and simulation tools using Looker
Implement and manage MLOps pipelines for model training, deployment, monitoring, and retraining
Write efficient, well-docum...
GCP Data Engineer
to design, build, and maintain scalable data platforms on Google Cloud. The ideal candidate will have strong experience in automated data ingestion, analytics engineering, and MLOps, with the ability to support marketing analytics use cases and BI-driven decision making.
You will work closely with Data Science, Analytics, and Business teams to enable data-driven insights through robust pipelines, models, and reporting solutions.
You will:
Design, develop, and maintain automated data ingestion pipelines on Google Cloud Platform (GCP)
Build and optimize scalable data processing workflows using Spark / PySpark
Support data science team, including data preparation, feature engineering, and experimentation support
Develop, deploy, and maintain BI reporting and simulation tools using Looker
Implement and manage MLOps pipelines for model training, deployment, monitoring, and retraining
Write efficient, well-docum...
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