Data Engineer - North America Fabric Care
Core
Design, develop, and implement cloud-based data and analytics platforms (DAP) and pipelines that acquire, cleanse, transform, and publish data from a wide variety of sources.
Role type
Data Engineer
Builds
Cloud-based data and analytics platforms (DAP) and ETL/ELT pipelines
Domain
Consumer goods / Cloud data engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, data modeling, ETL/ELT design, distributed data processing, cloud platforms (Azure/GCP), API integration, CI/CD, Generative AI tooling
Preferred skills
Azure Databricks, PySpark/Spark, Power BI, software engineering background, cloud data engineer certifications
Technologies
Azure, GCP, VS Code, Git, PySpark, Spark, Power BI, Generative AI
Responsibilities
Partner with business stakeholders to translate needs into data solutions; Design, build, and maintain ETL/ELT pipelines on modern cloud platforms; Integrate data platforms with APIs, databases, and external services; Take end-to-end ownership of data solutions from design to monitoring; Act as technical point of contact and mentor less-experienced engineers; Define and evolve engineering standards for code quality, testing, and CI/CD; Ensure data quality, reliability, and performance; Leverage Generative AI and agentic tooling to accelerate development.
Seniority
Entry Level
