Data Engineer, WW CSO

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Apple's Worldwide Channel Strategy & Operations (WW CSO) organization focuses on developing and deploying worldwide sales programs and best practices to deliver an extraordinary customer experience in the channel and drive Apple Channel sales. With deep functional expertise in digital, physical, and people enablement spaces, our WW CSO team closely collaborates with many cross-functional groups at global and regional levels.

We are seeking an experienced Senior Data Engineer to drive data ingestion, aggregation and visualization efforts for our channel sales platforms. This role will be critical in scaling how we ingest and transform data, from digital and in-store platforms to build a comprehensive view of the business. In this position, you will closely collaborate with multi-functional teams including regional sales teams, engineering teams, as well as external partners, to build data pipelines using advanced ETL capabilities and Cloud Data Infrastructure.

• 8+ years experience building highly scalable, compliant, and secure, enterprise-grade data and analytics platforms with robust data quality, data governance, data discovery, catalog and visualization capabilities
• 4+ years of experience working with large-scale e-commerce data and analytics platform, including building pipelines for Digital performance KPIs, Performance Marketing, and Testing & Optimization
• Strong coding knowledge/abilities in handling large data sets through SQL, data manipulation and ETL tools such as Alteryx; and experience with using cloud data platforms such as Snowflake and Amazon S3
• Experience building data pipelines in production and ability to work across structured, semi-structured and unstructured data
• Proven understanding of the enterprise data concepts (Master Data, Operational Data, Reference Data, Transactional Data)
• Hands on experience with the latest OSS, cloud, container, query languages and database technologies
• Solid understanding of security and risk principles around data, including governance and architecture considerations
• Strong expertise in implementing effective and successful Cloud based Data Migration and Data Integration strategies across ERP systems
• Good understanding of data warehousing, data lake concepts and Tableau dashboards (including Tableau Prep), visualizations, etc.
• Proven track record in enterprise-wide API management, micro-services, event-driven architectures and complex integrations
• Entrepreneurial attitude with an ability to navigate ambiguity while being able to “focus on what matters most”
• Strong influencing skills that drive alignment with a wide range of partners in a non-hierarchical environment, including business, operational and technical teams
• Programming skills in R or Python, a plus
• Commercial experience in a data-driven role, a huge plus
• Relevant certifications in AWS or other cloud data platforms preferred
• Experience with Marketing Analytics Platform such as Salesforce Datorama, a plus

In this role, you will focus on the following key areas:

Ph.D. in Computer Science, Machine Learning, Statistics, Operations Research or related field; or Ph.D. in Math, Engineering, Economics, or hard science with data science fellowship; or M.S. in related field with 3+ years experience applying machine learning engineering to real business problems

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