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The Full Stack Engineer will implement user-interface solutions, collaborate with design and product teams, ensure technical feasibility, manage component libraries, and document processes. The role requires strong front-end development skills, especially with React.js, and familiarity with back-end technologies and best practices.
The Data Engineering Analyst will manage the backend development of applications, focusing on data ingestion, database optimization, and API development. Key tasks include optimizing ETL processes, conducting peer reviews, and overseeing the product lifecycle from design to support. The role requires strong collaboration skills and knowledge of DevOps best practices.
The Data Engineering Analyst will be responsible for the design, implementation, and optimization of data pipelines, databases, and APIs to support advanced analytic initiatives. This role includes troubleshooting issues, developing microservices, and managing CI/CD pipelines while promoting best practices in code management and automated testing.
The Full-Stack Engineer will develop a platform utilizing AI to transform data into actionable insights, focusing on creating user-friendly interfaces and collaborating with various teams to enhance user experience. Responsibilities include frontend and backend development, maintaining code quality, and documentation.
The Product Owner will lead the Omnichannel Data Hub solution, responsible for product strategy, user stories, prioritization, and quality control. They will ensure alignment with business goals, oversee development, and maintain product health, while connecting technical and business aspects to deliver valuable products.
The Functional Expert ERP - Supply Chain Planning is responsible for analyzing, designing, and developing architecture solutions within the SAP ecosystem to enhance supply chain processes. This role involves collaborating with users and stakeholders, documenting requirements, and supporting the development team to ensure effective implementation and integration of solutions.
As a Data Scientist in Real World Data, you will apply machine learning and generative AI techniques to analyze datasets, enhance model performance, and build scalable data pipelines. You will collaborate closely with a software development team and share insights across the organization.
The Product 360 MDM Expert will lead the development and management of Product 360 data products, collaborating with stakeholders to design and implement MDM solutions using Informatica. Responsibilities include ensuring data quality, integration, and consistency across systems, along with providing architecture, solution design, and technical guidance to colleagues.
The Tax Manager will oversee tax matters for Sanofi Consumer Healthcare in India, including compliance with local transfer pricing requirements and monitoring changes in tax laws. The role involves collaboration with cross-functional teams and an emphasis on strong expertise in Indian tax regulations and accounting rules.
As a Software Engineer at Sanofi, you will develop high-performance scalable applications, drive productivity improvements using genAI, troubleshoot issues, and collaborate with cross-functional teams to implement innovative solutions in healthcare.
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