About the Role
The project focuses on the development, maintenance, and enhancement of a cloud-based data platform supporting Procter & Gamble analytics and data processing use cases. The platform operates across Microsoft Azure and Google Cloud Platform, enabling scalable data ingestion, transformation, storage, and analytics for enterprise and Point of Sale (POS) data.
The engineer will be part of a data engineering team responsible for designing and implementing robust data pipelines and ELT processes, building data models, and ensuring high-quality, reliable data delivery. The role requires strong software engineering practices, including CI/CD, automated testing, code quality standards, and version control.
On the Azure side, the solution leverages Azure Databricks, Azure SQL Server, Azure Machine Learning, and Azure Blob Storage, primarily using Python and PySpark. On the Google Cloud Platform, the stack includes BigQuery, DataProc, Airflow, and GCP Buckets, also with a stro...
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