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n Human Resources & Management Systems [ nHRMS ]
11 - 50 employees
Founded 2009
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
n Human Resources & Management Systems [ nHRMS ] is a boutique strategic HR consultancy and HR technology implementation firm that provides end-to-end HR solutions for growing organizations. They deliver talent acquisition and executive search, HR advisory, leadership development, HR process optimization, build-operate-transfer HR teams, and HR technology implementation, along with hybrid job-guaranteed training programs for HR careers. nHRMS serves primarily B2B clients, integrates with major HR/payroll platforms, and emphasizes personalized, measurable HR outcomes and long-term partnerships.
Senior Data Engineer / Data Architect
🕒 August 10
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n Human Resources & Management Systems [ nHRMS ]
11 - 50 employees
Founded 2009
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
n Human Resources & Management Systems [ nHRMS ] is a boutique strategic HR consultancy and HR technology implementation firm that provides end-to-end HR solutions for growing organizations. They deliver talent acquisition and executive search, HR advisory, leadership development, HR process optimization, build-operate-transfer HR teams, and HR technology implementation, along with hybrid job-guaranteed training programs for HR careers. nHRMS serves primarily B2B clients, integrates with major HR/payroll platforms, and emphasizes personalized, measurable HR outcomes and long-term partnerships.
📋 Description
• Design and drive end-to-end data architecture • Develop conceptual, logical and physical data models • Design and review technical solutions • Drive Azure environment and data platform architecture • Mentor development and business teams • Review technology selection and solution architecture • Participate in pre-sales activities • Work with senior leadership on technology strategy • Support technical team recruitment and capability building
🎯 Requirements
• 3–8 years of work experience • Strong experience delivering enterprise data solutions • Deep expertise in Azure Data technologies • Strong Azure Databricks and Synapse experience • Strong hands-on Spark, Python and SQL • Data architecture and modelling experience • Leadership and mentoring experience • Strong client/stakeholder communication • Pre-sales / solutioning exposure preferred • Notice period of 30 days or less
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