Full-Stack Data Engineer
Procter & Gamble2 months ago
Guangzhou, ChinaMid Level
Responsibilities
- Design, develop, and optimize scalable ETL/ELT pipelines using Databricks, SQL, Python, and Spark.
- Build and maintain data models and data products for analytics, automation, and business decision-making.
- Improve data quality, reliability, and maintainability through monitoring, testing, documentation, and CI/CD practices.
- Partner with Data Product Owners and business stakeholders to translate requirements into production-ready solutions.
- Design, develop, and deploy AI agents and agentic workflows for business and engineering process automation.
- Use AI-assisted development tools for solution design, coding, testing, troubleshooting, and optimization.
- Evaluate and adopt emerging AI and data technologies.
Requirements
- Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.
- Strong experience with ETL/ELT development, data modeling, and data quality management.
- Proficiency in SQL and Python, with hands-on experience using Databricks and Spark.
- Experience developing AI agents, LLM-based applications, workflow automation, or agentic systems.
- Familiarity with modern AI development frameworks, APIs, and AI-assisted engineering tools.
- Strong problem-solving, communication, and stakeholder management skills.
- Ability to work independently and deliver high-quality solutions in a fast-paced environment.
Tech Stack
Categories
AI ApplicationsData 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.