Senior Data Engineer
Core
Designing, developing, and implementing cloud-based analytics platforms and pipelines to acquire, cleanse, transform, and publish data from diverse sources for P&G's global consumer goods operations.
Role type
Senior Data Engineer (Cloud & Big Data)
Builds
End-to-end data solutions, data pipelines, and analytics platforms
Domain
Consumer Goods / Big Data / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python (PySpark), SQL, Spark, Databricks, Cloud Data Warehousing, Lakehouse, Data Mesh, Airflow, Azure Data Factory, CI/CD, API development, LLM orchestration frameworks (LangGraph/LangChain), context engineering
Preferred skills
Experience with AI-native operating models, semantic layer design, cross-functional technical leadership
Technologies
Spark, Databricks, Azure Cloud, Google Cloud, Airflow, Azure Data Factory, LangGraph, LangChain
Responsibilities
Assemble large complex data sets meeting business requirements; Partner with architects to ensure data fit-for-use; Contribute to coding standards and best practices; Identify and implement internal process improvements
Seniority
Senior, hands-on technical lead
