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Perceptive Recruiting
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  • Business Solutions Engineer  

    - Greenville
    Job DescriptionJob DescriptionBusiness Solutions Engineer opening in S... Read More
    Job DescriptionJob Description

    Business Solutions Engineer opening in Seneca, SC for a fast-growing, PE-backed company scaling rapidly with experienced leadership. In this role you'll own high-priority operational initiatives across the business — taking problems from definition through to business solutions. This is a hands-on, technology first generalist role built for someone who can analyze a process, build the solution, and implement it themselves.

    This full-time, on-site opportunity offers a competitive base salary, quarterly profit-sharing bonus, health insurance stipend, 401(k) with match, and PTO. Relocation assistance available.

    Requirements:

    4+ years in operations, business analysis, project management, or a similar cross-functional generalist roleHands-on experience with ERP, CRM, or BI tools (NetSuite and Power BI a plus)Comfortable building reports and dashboards and translating data into actionable recommendationsExperience coordinating with external vendors or technical teams to deliver on business requirementsStrong written and verbal communicationSelf-starter who creates structure in ambiguous situations and follows through without being managed

     

    Role Duties:

    Own operational projects end to end — design the approach, coordinate stakeholders, and deliver the outcome yourselfObserve team workflows, identify friction and inefficiency, and bring structured recommendations to leadershipBuild and maintain reports and dashboards that drive decisions across the businessDocument and improve core business processes to support system implementations and team training Read Less
  • Data Engineer - Dynamics 365 / Azure  

    - Houston
    Job DescriptionJob DescriptionData Engineer II role with a leading man... Read More
    Job DescriptionJob Description

    Data Engineer II role with a leading manufacturer and distributor of premium lighting products with a nationwide footprint. They're seeking a Data Engineer to help build scalable data solutions that support enterprise analytics, reporting, and business intelligence initiatives.

     

    This role is ideal for someone who enjoys designing data pipelines, integrating ERP systems, and working within Microsoft's data ecosystem. The environment includes Microsoft Fabric, Azure Data Factory, Dynamics 365, and JD Edwards (ERP), supporting multiple business functions across manufacturing, distribution, and e-commerce.

     

    Travel: Approximately 25% to facilities in Illinois and Georgia

    Join a growing enterprise investing heavily in Microsoft cloud technologies and help shape the organization's enterprise data platform. Competitive compensation and great benefits package.

     

    Responsibilities

    Design, develop, and maintain scalable ETL/ELT data pipelinesBuild and support data solutions within the Microsoft Fabric ecosystemDesign and optimize data models for reporting, analytics, and business intelligenceDevelop data ingestion pipelines using Azure Data Factory and related Azure technologiesIntegrate data from enterprise applications including Microsoft Dynamics 365 and JD EdwardsBuild reliable, reusable data assets for downstream applications and reporting platformsEnsure data quality, governance, security, and performance across enterprise data environmentsDevelop distributed data processing solutions using SQLSupport Microsoft Fabric lakehouse architecture and modern data platform initiativesMonitor, troubleshoot, and optimize existing data pipelinesPartner with business stakeholders, analysts, and development teams to deliver high-quality data solutionsDocument data architecture, pipelines, and engineering best practices

     

    Qualifications

    Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience)3+ years of data engineering experienceExperience building ETL/ELT pipelinesStrong SQL (T-SQL preferred)Experience with Azure Data FactoryHands-on experience with Microsoft FabricExperience integrating Microsoft Dynamics 365 (D365) dataExperience designing scalable data pipelines and data integration solutionsExperience with Azure Data Lake and/or Azure Synapse Analytics

     

    Read Less
  • Job DescriptionJob DescriptionPreventative Maintenance Technician II o... Read More
    Job DescriptionJob Description

    Preventative Maintenance Technician II opening with a growing manufacturing organization in Piedmont. In this role, you’ll be working on the Preventive Maintenance Crew. Must have 2+ years of manufacturing maintenance experience. Work 36 hours, get paid for 40! Perfect for someone taking classes with experience. We have both day and night shifts available.

     

    Shift Schedule: Friday-Sunday

    8pm-8am (Night shift)

    8am-8pm (Day shift)

    This role focuses on completing all preventive maintenance during plant downtime to keep production equipment running safely and efficiently.

    Requirements:
    • Excellent track record of carrying out Preventative Maintenance plans
    • 2–3 years of maintenance experience in an industrial or manufacturing environment.
    • Strong mechanical aptitude and basic electrical troubleshooting skills.
    • Comfortable working at heights and in different plant environments.
    • Excellent planning, organization, and time-management skills.
    • Self-sufficient and reliable — able to manage priorities with minimal supervision.

    Job Duties:
    • Perform all scheduled preventive maintenance across the facility.
    • Identify improvements and implement into Preventative Maintenance plan.
    • Maintain and organize spare parts, tools, and equipment.
    • Self-manage time and take ownership of the PM plan.
    • Keep the maintenance shop clean, safe, and well-organized.
    • Communicate maintenance updates and needs clearly with team members.
    • Follow all safety protocols, including lockout/tagout and confined space procedures.

    Read Less

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