Procter & Gamble
Linkedin · Posted 3d ago
Full-Stack Data Engineer
Continue to application
Add your email once, then Caio opens the original posting.
Indexed 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.
- 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.
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search
Want help applying to roles like this?
Search Caio for free. If repetitive applications get heavy, Managed Job Search adds supervised execution for $99/month.
View Managed Job Search
