• Bachelors, Masters or PhD degree in Computer Science, Data Engineering, Software Engineering, or a related field. 

• Strong hands-on experience building data pipelines, integrations, and scalable data services. 

• Proficiency in Python, SQL, or comparable data-engineering technologies. 

• Experience with structured and unstructured data, databases, APIs, and cloud-based environments. 

• Understanding of metadata, provenance, data quality, versioning, access controls, testing, and operational support. 

Preferred Qualifications 

• Familiarity with orchestration, data lakes, warehouses, lakehouses, APIs, and cloud platforms

• Experience implementing semantic models, ontologies, knowledge graphs, or FAIR data practices

• Experience engineering biological, OMICS, imaging, laboratory, healthcare, or complex scientific data 

• Experience building data foundations for analytics, machine learning, or AI

About us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.