Full Stack Engineer - Data Integration

Job Description

Purpose and Scope: Commercial (GrowthX) Data Integration service - to manage the commercial integration backlog and development team. Essential Job Responsibilities: Participate in smaller focused mission teams to deliver value driven solutions aligned to our global and bold move priority initiatives and beyond. Design develop and implement robust and scalable full stack applications using modern technologies. Collaborate with cross functional teams and practices across the organization including Commercial, Manufacturing, Medical, DataX, GrowthX and support other X (transformation) Hubs and Practices as appropriate, to understand user needs and translate them into technical solutions. Provide Level 3 and 4 Technical Support to internal users troubleshooting complex issues and ensuring system uptime as soon as possible. Champion continuous improvement initiatives identifying opportunities to optimize performance security and maintainability of existing data and platform architecture and other technology investments. Participate in the continuous delivery pipeline Adhering to DevOps best practices for version control automation and deployment. Ensuring effective management of the FoundationX backlog. Leverage your knowledge of Machine Learning (ML) and data engineering principles to integrate with existing data pipelines and explore new possibilities for data utilization. Stay up to date on the latest trends and technologies in full-stack-development, data engineering and cloud platforms Requirements Qualifications: Required Any relevant cloud-based integration certification at professional level. For example: AWS certified DevOps engineer (Professional), AWS Certified Developer (Professional) MuleSoft Certified integration architect Level 1 (Essential), Microsoft Certified Azure Integration and Security. Proficient in RESTful APIs MuleSoft Understanding of MuleSoft's Anypoint Platform and its components Experience with designing and managing API-led connectivity solutions Knowledge of integration patterns and best practices Proficiency in network architecture and security concepts AWS Experience provisioning, operating, and managing AWS environments Experience developing code in at least one high-level programming language Understanding of modern development and operations processes and methodologies Ability to automate the deployment and configuration of infrastructure using AWS services and tools Experience with continuous integration and continuous delivery (CI/CD) methodologies and tools Microsoft Azure Fundamental understanding of Microsoft Azure and its services Experience with Azure services related to computing, networking, storage, and security Knowledge of general IT security principles and best practices Understanding of cloud integration patterns and Azure integration services such as Logic Apps, Service Bus, and API Management Cross-Cultural Experience: Work experience across multiple cultures and regions, facilitating effective collaboration in diverse environments. • Innovation and Creativity: Ability to think innovatively and propose creative solutions to complex technical challenges. • Global Perspective: Demonstrated understanding of global pharmaceutical or healthcare technical delivery, providing exceptional customer service and enabling strategic insights and decision-making. Preferred Subject Matter Expertise: possess a strong understanding of data architecture/ engineering/operations/ reporting within Life Sciences/ Pharma industry across Commercial, Manufacturing and Medical domains. Other complex and highly regulated industry experience will be considered across diverse areas like Commercial, Manufacturing and Medical. Data Analysis and Automation Skills: Proficient in identifying, standardizing, and automating critical reporting metrics and modelling tools. Analytical Thinking: Demonstrated ability to lead ad hoc analyses, identify performance gaps, and foster a culture of continuous improvement. Technical Proficiency: Strong coding skills in SQL, R, and/or Python, coupled with expertise in machine learning techniques, statistical analysis, and data visualization. Agile Champion: Adherence to DevOps principles and a proven track record with CI/CD pipelines for continuous delivery. Working Environment At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas Responsible Flexibility Guidelines.