Big Data Engineer

Job Description

We are seeking a Senior Specialist for project delivery and/or operations for handling big data. The role involves enabling data and supporting data modelling in the given business sub-capability. The ideal candidate will partner with Business Stakeholders and IT Strategic Business Partners for demand analysis, solution proposal/evaluation, project delivery, and data governance. Job Description Key Responsibilities: Enable big data availability for data analytics and AI use cases. Ensure adoption of enterprise data management and enable data streams. Ensure alignment to Security and Compliance policies and procedures. Deliver on agreed important metrics including business impact. Launch innovative technology solutions across Novartis at scale. Generate business impact and value from IT solutions. Adopt and develop Agile, Productization, and DevOps practices. Ensure operations stability and effective risk management. Minimum Requirements: University degree in Informatics, Computer Sciences, Business, or a similar field, OR relevant experience. 5-7 years of experience in big data engineering, including hands-on experience with data analytics and AI use cases. Experience in Enterprise Data Management implementation, demonstrating the ability to manage and optimize data streams. Industry/business exposure to Master Data Management implementation, showcasing the ability to handle large-scale data management projects. Proven ability to develop trust-based relationships with team members and stakeholders, ensuring effective collaboration and communication. Stakeholder management experience, including the ability to engage and manage expectations of various stakeholders. Proficiency in big data engineering tools and technologies. Strong understanding of enterprise data management practices. Experience with Agile, Productization, and DevOps practices. Proficiency in English, both written and spoken, to effectively communicate with global teams and stakeholders