Posted:3 weeks ago|
Platform:
Work from Office
Full Time
Design and manage the development of modular, reusable, elegantly designed and maintainable software or solutions that supports the Manufacturing organization as we'll as other Cross Functional strategic initiatives. Participate fit-gap workshops with business providing effort estimates and solutions proposals. Hands on, solution driven and customer focused. Develop and maintain the code repositories for which you are responsible and respond rapidly to bug reports or security vulnerability issues. Embody and integrate software development best practices into your everyday work and inspire others within the engineering community to emulate these practices. Collaborate extensively with your colleagues across Security, Compliance, Engineering, Project Management, Product Management, Product Service Management and Business Management. Enable data needed for frontend applications on AWS or any other cloud platform to support building data lake and manufacturing analytics use cases on top. Driving use cases on real time and near real time analytics, integrations with multiple internal and external systems. Continue support for moving other manufacturing warehousing platforms to the cloud. Ensure delivered solutions adhere to architectural and development standards, best practices, and meet requirements as recommended in the architecture handbook. Ensure designed solutions are aligned with Data and Analytics strategy standards and roadmap. Bring innovations to the solutions and add measurable values to manufacturing business. Work Experience: 4+ years of previous relevant experience. Experience in customer facing IT roles is a plus. Strong data engineering fundamentals in data management, data analysis, back end system design. Strong hands-on exposure in Data Analytics solutions (descriptive, diagnostic, predictive prescriptive) Previous AWS experience is preferred. Previous working experience in manufacturing business for a healthcare company is a plus. Previous working experience with D365 is a plus. Previous working experience in driving AI/ML (including Generative AI) projects is a plus. Familiar with Agile, Disciplined Agile as we'll as Waterfall delivery concepts. Collecting and interpreting requirements as we'll as building supporting solutions to satisfy business requirements.
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