SAP HANA Modeler, Amazon Leo Production Operations
Amazon · US, WA, Bellevue · Project/Program/Product Management--Technical
mid
data engineering
Data Engineer
ic
3+ yrs
· Posted May 15, 2025
$115,800 – $160,000
USD per year
Skills
AI Summary
Design and optimize data extraction solutions from SAP S4 HANA, MES, and GTS systems into AWS data lake. Collaborate with cross-functional teams on reporting requirements, conduct blueprint workshops, and provide production support. Requires 3+ years SAP S4 and MES data extraction experience with strong understanding of functional processes and CRUD operations.
Leo 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 looking to hire an extraction expert, who has a strong overall understanding of functional process and its corresponding mechanism of data persistency along with CRUD operations and be able to design solutions, enhance and production support. You will work closely with SAP functional, datalake and data analytics teams understand reporting requirements. The enhancement and support of these systems is critical to scalability and cost-effective manufacturing of satellites and ground gateway terminals.
As the Data Extraction expert, you would have expertise in designing, implementing, and maintaining robust data persistence mechanisms and design solutions with comprehensive knowledge on functional process.
This role is crucial to provide data for manufacturing processes, Operation and Finance analytics.
Key job responsibilities
• Design 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 life
Collaborate with functional owners, architects and developers to build scalable and flexible extraction mechanism to meet the emerging demands of data lake and Analytics team. 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.
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
•Develop and implement data architectures and infrastructure using AWS services such as S3, glue job, 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 & Quick Sight
• 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 for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
USA, WA, BELLEVUE - 115,800.00 - 160,000.00 USD annually
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 looking to hire an extraction expert, who has a strong overall understanding of functional process and its corresponding mechanism of data persistency along with CRUD operations and be able to design solutions, enhance and production support. You will work closely with SAP functional, datalake and data analytics teams understand reporting requirements. The enhancement and support of these systems is critical to scalability and cost-effective manufacturing of satellites and ground gateway terminals.
As the Data Extraction expert, you would have expertise in designing, implementing, and maintaining robust data persistence mechanisms and design solutions with comprehensive knowledge on functional process.
This role is crucial to provide data for manufacturing processes, Operation and Finance analytics.
Key job responsibilities
• Design 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 life
Collaborate with functional owners, architects and developers to build scalable and flexible extraction mechanism to meet the emerging demands of data lake and Analytics team. 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 Qualifications
3+ 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 Qualifications
•Deep 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 job, 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 & Quick Sight
• 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 for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, BELLEVUE - 115,800.00 - 160,000.00 USD annually