SAP Cloud Data Platforms Engineer

Summary

Are you seeking an environment where you can drive innovation? Does the prospect of working with top engineering talent get you charged up? Apple is a place where extraordinary people gather to do their best work. Together we create products and experiences people once couldn’t have imagined — and now can’t imagine living without. Apple’s IS&T manages key business and technical infrastructure at Apple -- how online orders are placed, the customer experience with technology in our retail stores, how much network capacity we need around the world and much more. The SAP Global Systems team within IS&T runs the Operations and Financial transactional platform that powers all of Apple functions like Sales, Manufacturing, Distribution and Financials. Think platform-as-product! Our team is responsible for enabling Platforms in technology domains Data Management and AI. We define solution patterns together with business and other IS&T stakeholders with our technical expertise of SAP and Cloud Products. In the area of Data Management, What we build is a scalable, well defined data landscape that allows our business stakeholders to consume the data that they want, when they want and to move to an insight driven business decision process. We use the right technologies to power our decision-making and also continuously align our platforms with technical innovations as well as overall cooperate strategy.

Description

As a SAP and Cloud Data Platform Engineer at Apple, you will be a key contributor to the design, development, and operation of our next-generation Data platform. You will work alongside a team of talented engineers to build a highly scalable, reliable, and secure platform that empowers Apple's product teams to deliver world-class experiences. You will be responsible for driving innovation, adopting new technologies, and ensuring the platform meets the evolving needs of Apple's business.

Minimum Qualifications

7-10 years of Experience in the relevant field. At least 2 projects exposed as Data Warehouse, Data Analysis, modeler, data integration Understanding of SAP BTP. Experience in SAP Data & analytics landscape, SAP Datasphere/ SAP Business Data Cloud (BDC), SAP Analytics Cloud (SAC). Data solutioning skills like Hana Data modeling, Data transformation, SQL Scripting, Performance evaluation and optimization. Data Integration Experience with Replication, federation, SAP CDC, scheduling/monitoring with SAP and Non-SAP data technologies. SAP Analytics Cloud expertise to implement solutions around Stories, Dashboards, Planning, etc. Experience in building connections , SQL/graphical views, replication / data flows Experience on CDS views, embedded analytics, integration patterns Open SQL schema consumption patterns for external compute/ML notebooks A strong sense of ownership, good critical thinking & interpersonal skills to work successfully across diverse business and technical & multi-functional teams.

Preferred Qualifications

Bachelor degree in Computer Science, Engineering or other relevant major Python + Hana- ML integration; optional AI Core for ML ops, chunking, embeddings, vectors Strong understanding of common authentication schemes, certificates, secrets and protocols. Scripting and automation - Python for data/ML workflows against HANA Cloud/Datasphere (hdbcli, hana-ml, JDBC/ODBC). Expertise on SAP BW 7.x and BW/4HANA, S/4HANA. Orchestration/monitoring patterns for data pipelines. Understand complex landscape architectures. Have working knowledge of on-prem and cloud based hybrid architectures and infrastructure concepts of Regions, Availability Zones, VPCs/Subnets, Loadbalancers, API Gateways etc. Experience in Client/ Customer/Business stake holders interaction Coordination support for important issues (investigating, providing workarounds) for complex and cross-component issues