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Procter & Gamble

Full-Stack Data Engineer

Procter & Gamble Guangzhou, Guangdong, China

Manufacturing · 10,001+ employees

Sep 03
data-engineer Mid (2-5 yrs) Full-time China
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About the role

Design, develop, and optimize scalable ETL/ELT pipelines while building robust data models and data products. Additionally, deploy AI agents and agentic workflows to automate business and engineering processes.

What they look for

Databricks SQL Python Spark ETL/ELT Pipelines Data Modeling Data Quality Management AI Agents LLM-based Applications Workflow Automation CI/CD Data Engineering Problem-solving Communication Stakeholder Management

Requirements

Requires a bachelor's degree in Computer Science, Data Engineering, or a related field. Candidates must have strong experience in ETL/ELT development, data modeling, and proficiency in SQL, Python, Databricks, and Spark.

Full description

Key Responsibilities

  • Design, develop, and optimize scalable ETL/ELT pipelines using Databricks, SQL, Python, and Spark.
  • Build and maintain robust data models and data products that enable analytics, automation, and business decision-making.
  • Ensure data quality, reliability, and maintainability through monitoring, testing, documentation, and CI/CD best practices.
  • Partner with Data Product Owners (DPOs) and business stakeholders to rapidly translate requirements into production-ready solutions.
  • Design, develop, and deploy AI agents and agentic workflows to automate business and engineering processes.
  • Leverage AI-assisted development tools to accelerate solution design, coding, testing, troubleshooting, and optimization.
  • Evaluate and adopt emerging AI and data technologies to enhance productivity, data accessibility, and solution delivery.

Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.
  • Strong experience in ETL/ELT development, data modeling, and data quality management.
  • Proficiency in SQL and Python, with hands-on experience in 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.

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