Senior Data Engineer
Core
Design, develop, and optimize scalable data pipelines and high-performance data solutions to transform raw data into business-ready datasets for analytics, reporting, AI, and data products within the flavors, fragrances, and health & biosciences industry.
Role type
Senior Data Engineer (Cloud & Data Platform)
Builds
Scalable data pipelines, high-performance data solutions, data products, and self-service analytics applications.
Domain
Flavors, fragrances, food ingredients, health & biosciences; Cloud data platforms.
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, ETL/ELT pipeline design, cloud data platform architecture, data modeling, database design, performance optimization, API integration, event-driven architectures, data governance, data quality controls, metadata management.
Preferred skills
Building data products and self-service analytics solutions (e.g., Streamlit), supporting AI/ML initiatives, cloud technology certifications.
Technologies
Snowflake, Databricks, Azure, AWS, Streamlit.
Responsibilities
Design and optimize scalable data pipelines integrating data from R&D, SAP, and external sources; Architect and maintain reliable, high-performance data solutions; Drive automation initiatives for data ingestion, processing, and deployment; Implement advanced data quality controls and monitoring frameworks; Partner with stakeholders to define and implement data products; Mentor junior engineers and establish data engineering best practices.
Seniority
Senior, hands-on IC with mentorship responsibilities.
