Data Engineer
Procter & Gamble3 months ago
Manila, PhilippinesSenior
Responsibilities
- Build data and analytics solutions in Microsoft Azure or Google Cloud to acquire, process, store, and provide insights from data.
- Develop and implement cloud-based solutions within existing architectures to support business insights.
- Automate and optimize internal processes in Azure and Google Cloud.
- Lead design, implementation, coding, and adaptation of data systems and analytics platforms.
- Develop key business cases and products within Data & Analytics using cloud solutions.
- Collaborate with multifunctional and multinational teams inside and outside P&G.
Requirements
- Proven Python/PySpark and SQL/SparkSQL programming skills.
- Experience with Big Data and ETL, preferably using Spark and Databricks.
- Experience implementing projects and solutions in cloud environments, preferably Azure or Google Cloud, with AWS also relevant.
- Knowledge of or experience using or building CI/CD tools.
- Knowledge of AAS, DAX, and the Power BI front end.
- Previous experience with or understanding of data models.
- Knowledge of Agile SCRUM and DevOps methodologies.
- English proficiency and at least a bachelor’s degree.
Benefits
- Performance bonus through the STAR program.
- Flexible work schedule with work-from-home arrangements.
- Health insurance, fitness support, and an Employee Assistance Program.
- Full-time position based at the Manila Net Park office.
Tech Stack
Categories
Data Engineering
About Procter & Gamble
Procter & Gamble is a global consumer packaged goods company that makes and sells household, personal care, and hygiene products through retailers and e-commerce. Its portfolio includes brands such as Pampers, Tide, Gillette, Oral-B, and Pantene, serving consumers worldwide. Founded in 1837 and headquartered in Cincinnati, Ohio, P&G is a public company listed on the NYSE under the ticker PG.