Data Engineer - Cloud Analytics & Pipelines (Hybrid)
Procter & Gamble
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Benefits offered by this job
Job summary
Procter & Gamble in Manila is seeking a Data Engineer to join the Data & Analytics team. You will build data pipelines and analytics platforms on Azure/GCP to answer business questions and deliver BI insights. The role requires Python/PySpark and SQL, experience with Big Data/ETL, and familiarity with cloud platforms.
We offer performance bonuses, flexible work arrangements, and health benefits. Collaborating with global teams, you will influence technology choices and contribute to scalable
Qualifications
- Proven Python/PySpark and SQL programming experience.
- Big Data/ETL with Spark and Databricks preferred.
- Cloud project experience in Azure and GCP (AWS optional).
- Experience with CI/CD tools and data modelling concepts.
- English proficiency and a bachelor’s degree.
Responsibilities
- Build data & analytics solutions in Azure or Google Cloud to acquire, process, store and provide insights.
- Develop within existing cloud designs to help the business gain insights.
- Automate and optimize internal data processes in Azure/GCP.
- Collaborate with multifunctional and multinational teams.
- Focus on data & analytics work tied to business cases and agile cloud products.
Skills
Education
Tools
Job description
Procter & Gamble in Manila is seeking a Data Engineer to join the Data & Analytics team. You will build data pipelines and analytics platforms on Azure/GCP to answer business questions and deliver BI insights. The role requires Python/PySpark and SQL, experience with Big Data/ETL, and familiarity with cloud platforms.
We offer performance bonuses, flexible work arrangements, and health benefits. Collaborating with global teams, you will influence technology choices and contribute to scalable
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