Senior Data Engineer

Overview

Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

We are seeking a Senior Data Engineer with deep expertise in Snowflake and strong functional knowledge of Supply Chain and Order Fulfillment, including experience integrating data from Oracle Fusion Cloud applications. In this role, you will architect and deliver scalable, trusted data solutions that power analytics across procurement, inventory, logistics, and fulfillment. You'll collaborate with key business and technology stakeholders to optimize supply chain performance through clean, well-governed data.

Responsibilities

• Snowflake-Centric Data Engineering
• Design and implement robust, scalable ELT pipelines in Snowflake to ingest and process data from Oracle Fusion Cloud (SCM, Procurement, Inventory, Order Management) and other relevant systems.
• Build and optimize data models that support key supply chain KPIs such as on-time delivery, inventory turns, order cycle time, and supplier performance.
• Ensure high performance of pipelines and queries through warehouse tuning, partitioning, and Snowflake best practices.
• Functional Collaboration – Supply Chain & Fulfillment
• Partner with Procurement, Logistics, Fulfillment, and Supply Chain Planning teams to gather requirements and deliver usable, accurate data products.
• Enable visibility and analytics across the order-to-ship and procure-to-pay lifecycles, with special emphasis on real-time inventory visibility, order tracking, and supplier management.
• Translate operational needs into scalable, automated pipelines for daily reporting, exception alerts, and long-range planning.
• Oracle Fusion Cloud Integration
• Lead the integration of Oracle Fusion Cloud data models into Snowflake, ensuring proper handling of complex business hierarchies, metadata, and financial controls.
• Understand Fusion data structures, including subject areas for Purchase Orders, Shipments, Inventory, Costing, and Invoices, and transform them into accessible formats for analytics and forecasting.
• Troubleshoot and optimize ELT jobs sourced from Fusion’s APIs, BICC extracts, or database connectors.
• Data Governance, Quality & Access Control
• Implement role-based access controls, data masking, and auditing to protect sensitive supplier, pricing, and order data.
• Define and enforce standards for data quality checks, lineage tracking, and semantic consistency across global supply chain functions.
• Contribute to the creation of data dictionaries, metrics catalogs, and documentation aligned with supply chain and fulfillment teams.
  
  

Qualifications

Careers Privacy Statement

***Keysight is an Equal Opportunity Employer.***

Required

• 7+ years of experience in data engineering, including 3+ years with Snowflake architecture and development.
• Hands-on experience integrating with Oracle Fusion Cloud (SCM, Procurement, Inventory, or OM modules).
• Strong SQL and Python skills, and familiarity with ELT tools like dbt, Matillion, Fivetran, or equivalent.
• Deep understanding of supply chain and fulfillment data domains, including key metrics and operational processes.
• Demonstrated ability to model complex transactional and hierarchical data structures for analytics consumption.
  
  

Preferred

• Snowflake SnowPro Certification.
• Experience with real-time data integration or event-based pipelines.
• Familiarity with supply chain planning tools and logistics platforms
• Exposure to data visualization and reporting tools such as Tableau or Power BI.