Senior Solutions Engineer

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Location: 

Onsite – Greensboro, NC

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Employment Type: 

1 year contract with potential for extension

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GC, USC, H4 EAD for L2 EAD

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Need 10+ Years of experience 

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Even 8+ years ok, But need good profile with linkedin profile

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linkedin profile is mandatory

candidates only local to NC or VA

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Job Summary:

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We are looking for a skilled & motivated Senior Solutions Engineer to join our onsite team at Greensboro, NC. This role will focus on a high - priority initiative involving the Order Promise project, requiring expertise in the Maestro supplier planning tool. The ideal candidate will have hands - on experience with Maestro, strong analytical capabilities, & proficiency in scripting & functional programming using Excel & relational databases.

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Responsibilities:

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• Design, develop, & configure solutions within the Maestro supplier planning tool to support the Order Promise project
• Collaborate with cross - functional teams to gather & interpret functional & technical requirements
• Analyze workflows & system processes to improve solution performance & efficiency
• Write & optimize SQL queries for reporting, data analysis, & backend integration
• Develop scripts using Java & Excel macros to automate tasks & enhance functionality
• Ensure data integrity & effective use of relational database systems
• Participate in testing, deployment, & ongoing support

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Required Qualifications:

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• 6+ years of experience in solutions engineering, enterprise systems, or supply chain technology
• Proven experience with the Maestro supplier planning tool in a development or configuration role
• Strong analytical & problem - solving skills
• Proficiency in Excel programming/macros, SQL, & functional programming principles
• Experience with Java scripting
• In - depth understanding of relational databases & data structures
• Excellent communication & collaboration skills

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Must be able to work onsite in Greensboro, NC

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Preferred Qualifications:

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• Experience in supply chain, order management, or planning systems
• Background in manufacturing or logistics environments
• Familiarity with large-scale enterprise data ecosystems