Data Engineer II- Windows Servicing & Delivery Update Platform team

Design, develop, and maintain scalable data pipelines and data assets that support product-quality measurement, validation, and decision-making. Transform and integrate data from multiple sources into formats that can be reliably consumed by downstream systems, reports, analytical tools, and engineering workflows. Implement processes to extract, validate, and monitor data to help ensure that data assets are accurate, complete, reliable, and appropriately governed. Use telemetry and other product signals to assess product behavior, identify quality concerns, and generate insights that guide engineering and product improvements. Develop metrics and measurement frameworks that connect technical performance, product quality, and customer outcomes. Investigate patterns, form conclusions, and translate data into actionable recommendations for engineering and product partners. Partner with stakeholders to understand data and business requirements and contribute to designs for data flow, storage, access, and consumption. Apply a validation and quality mindset across the full lifecycle of data solutions, from source data and pipelines to the product decisions supported by the resulting insights. Create dashboards, reports, and other analytical experiences that communicate insights effectively to technical and nontechnical audiences. Follow applicable data-management, privacy, security, access-control, and compliance requirements. Collaborate across disciplines to help ensure that Windows updates provide secure, reliable, and high-quality customer experiences Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) experience in business analytics, data science, software development, data modeling, or data engineering.OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years experience in business analytics, data science, software development, data modeling, or data engineering.OR equivalent experience. These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 5+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.Experience designing, building, and supporting scalable data-processing solutions using Azure Data Factory, Azure Data Explorer, Power BI, or comparable technologies. Proficiency with one or more data engineering or software-development languages, such as SQL, KQL, Python, Scope, C#, or another object-oriented programming language. Experience using telemetry, analytics, testing, or validation signals to assess product quality, identify issues, and inform product improvements. Experience defining and monitoring product-quality metrics or KPIs and translating data into actionable insights for engineering or product decisions. Experience or exposure in quality assurance, software testing, validation, product analytics, or another discipline that complements data engineering. 1+ year(s) of experience with data governance, data compliance, and/or data security. Experience creating data visualizations and communicating technical insights to technical and nontechnical audiences. Experience with Git, Azure DevOps, or another source-control and engineering-workflow system.