SAP HANA Modeler, Kuiper Production Operations

SAP HANA Modeler, Amazon Leo Production OperationsJob ID: | Amazon Kuiper Manufacturing Enterprises LLCLeo is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity.Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Our team focuses on extracting data from Enterprise Application systems S4 HANA, MES and GTS to AWS datalake. Our customers are Manufacturing, Operations, Finance and the Supply Chain teams at Leo.We are hiring an extraction expert with a strong overall understanding of functional process and its corresponding mechanism of data persistency along with CRUD operations, and the ability to design solutions, enhance, and provide production support. The role is crucial to provide data for manufacturing processes, operation and finance analytics.Key Job ResponsibilitiesDesign and optimize data extraction solutions across enterprise systems SAP S4 HANA, MES, GTS and Non-SAP sources.Collaborate with cross‑functional teams (SAP, Data Lake, and Analytics) to meet evolving reporting needs.Conduct blueprint workshops, fit‑gap analysis and produce detailed design documents.Open to learn and scale up to extract non‑SAP data & support solution designs across the Leo systems.Participate in strategic planning, roadmap discussions for SAP Manufacturing solutions.Participate in quarter planning, sprint planning, deployment for continuous enhancements.A Day in the LifeCollaborate with functional owners, architects and developers to build scalable and flexible extraction mechanisms to meet the emerging demands of data lake and analytics teams. Support production system for support tickets, bug fixes and identifying optimization opportunities to enhance overall process and system performance. Primary role will be to understand and support data needs through partnering with data hive and operational analytics teams to design a scalable & flexible solution.Basic Qualifications3+ years of development and support experience with SAP S4 and MES data extractions & analytics.3+ years of design and implementation of AWS serverless distributed solutions experience.3+ years of implementation and enhancement experience with SAP S/4 HANA CDS views.2+ years’ experience integrating SAP S4 with Non‑SAP systems.5+ years in an information technology role.Preferred QualificationsDeep understanding of data extraction methodologies, extractions using API/OData services, real‑time extraction, cloud data extraction, incremental extraction and database querying (HANA DB).Develop and implement data architectures and infrastructure using AWS services such as S3, Glue jobs, Lambda, SQS, SNS, Redshift, and others.Proficiency in database management systems and query languages, SQL, HANA calculation views & S4 HANA & GTS CDS views.Experience working with analytical tools Tableau & QuickSight.Experience working in onshore‑offshore model.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results. If you have a disability and need a workplace accommodation during the application and hiring process, please visit for more information.Compensation ranges from $104,300 to $185,000 per year depending on geographic market. Total compensation may include equity, sign‑on payments, and other benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.#J-18808-Ljbffr