Data Engineer 11

Qualifications

• Core Responsibilities Unique to the Role
• 1) Develop and maintain enterprise data products by building data pipelines, data transformations, and curated datasets that support reporting, analytics, automation, and GenAI use cases across Supply Chain, Quality, Finance, Product Lifecycle, and other Enterprise Products domains. 2) Apply Data-as-a-Product principles to create reusable, discoverable, and governed data assets with appropriate metadata, lineage, and quality controls, enabling self-service consumption and consistent business outcomes across multiple consumers. 3) Collaborate with Product Managers, Data Engineers, Data Scientists, and Solution Engineers to support delivery of AI-ready data products by ensuring data is reliable, well-structured, and optimized for analytics, machine learning, and GenAI applications.
• Required Skills, Education, or Experience
• 1) Experience developing and supporting data integration, ETL/ELT processes, data pipelines, and data transformations using modern data platforms and cloud-based technologies. 2) Working knowledge of data modeling, SQL, data quality practices, metadata management, and data governance principles supporting enterprise-scale data products. 3) Ability to translate business and product requirements into efficient technical solutions while considering scalability, performance, maintainability, and reusability. 4) Experience working in Agile, cross-functional teams and collaborating effectively with product, engineering, analytics, and business stakeholders. 5) Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or equivalent practical experience.
• Preferred (Nice to Have) Skills, Education, or Experience
• 1) Experience working within a Data-as-a-Product operating model, including exposure to data catalogs, lineage, data quality frameworks, and certified data products. 2) Exposure to AI/ML or GenAI initiatives, including preparation of AI-ready datasets, semantic models, knowledge assets, or data structures supporting intelligent business solutions.