Data Engineer Supply Chain SAP MM PP
Highbrow LLC, Austin, TX, United States
Job Title :- Data Engineer Supply Chain SAP MM PP
Employment Type :- W2
Duration :- Long Term
Visa Type :- Green Card and US Citizens only
Location :- Austin, Texas (Onsite)
Job Description
We are seeking a highly skilled Data Engineer Supply Chain with SAP MM PP expertise. The ideal candidate will be responsible for Design, develop, and maintain SAP MM (Materials Management) and PP (Production Planning) data solutions to support business operations. Ensure data accuracy, integration, and optimization across SAP modules and related systems. Collaborate with cross-functional teams to implement data migration, transformation, and reporting strategies. Troubleshoot and enhance SAP data processes to improve efficiency and decision-making.
Key Responsibilities:
Skilled in data wrangling, cleansing, and transformation of inventory-related datasets from SAP MM PP Modules. (2 years required.)
Experience in building scalable pipelines, API-based data access, and workflow automation.
Experience working with supply chain and operations teams to align data strategies with business objectives.
Experience with inventory management, safety stock optimization, and SKU-level inventory flow analytics is a PLUS.
Optimize application and data
performance, responsiveness, and accessibility .
Collaborate with cross-functional teams to ensure seamless integration between frontend and backend components.
Monitor data pipelines performance, troubleshoot issues, and optimize system reliability.
Required skills and qualifications:
Bachelor’s or Master’s degrees in engineering, Mathematics, Statistics, Computer Science, philosophy or a related field.
Strong problem-solving and analytical skills.
Entrepreneurial mindset with a strong sense of curiosity, proactiveness, and a self-starter
Passion for data-driven decision-making and a desire to learn.
Experience with SAP ERP systems, including data extraction, analytics, and reporting.
Proficiency in Python, R, or SQL for data analysis and machine learning.
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Employment Type :- W2
Duration :- Long Term
Visa Type :- Green Card and US Citizens only
Location :- Austin, Texas (Onsite)
Job Description
We are seeking a highly skilled Data Engineer Supply Chain with SAP MM PP expertise. The ideal candidate will be responsible for Design, develop, and maintain SAP MM (Materials Management) and PP (Production Planning) data solutions to support business operations. Ensure data accuracy, integration, and optimization across SAP modules and related systems. Collaborate with cross-functional teams to implement data migration, transformation, and reporting strategies. Troubleshoot and enhance SAP data processes to improve efficiency and decision-making.
Key Responsibilities:
Skilled in data wrangling, cleansing, and transformation of inventory-related datasets from SAP MM PP Modules. (2 years required.)
Experience in building scalable pipelines, API-based data access, and workflow automation.
Experience working with supply chain and operations teams to align data strategies with business objectives.
Experience with inventory management, safety stock optimization, and SKU-level inventory flow analytics is a PLUS.
Optimize application and data
performance, responsiveness, and accessibility .
Collaborate with cross-functional teams to ensure seamless integration between frontend and backend components.
Monitor data pipelines performance, troubleshoot issues, and optimize system reliability.
Required skills and qualifications:
Bachelor’s or Master’s degrees in engineering, Mathematics, Statistics, Computer Science, philosophy or a related field.
Strong problem-solving and analytical skills.
Entrepreneurial mindset with a strong sense of curiosity, proactiveness, and a self-starter
Passion for data-driven decision-making and a desire to learn.
Experience with SAP ERP systems, including data extraction, analytics, and reporting.
Proficiency in Python, R, or SQL for data analysis and machine learning.
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