DataBricks Developer Data Modeler Python, Azure, AWS

Responsibilities : Development of Ownership: Collaborating with senior developers to support key development projects related to our Data Warehouse and other MI systems. Collaborate with senior team members within a multi-skilled project team. Contribute to the efficient administration of multi-server environments. 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 data analytics 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 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 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 data engineering and cloud platforms. Requirements

­­­­­­Qualifications:

Required

Bachelor's degree in computer science, Information Technology, or related field (Master’s preferred) or equivalent experience 3-5+ years’ experience as a Developer or Data Analyst within a Pharmaceutical or working within a similar regulatory environment. Analytical Thinking: Demonstrated ability to lead ad hoc analyses, identify performance gaps, and foster a culture of continuous improvement. Familiarity with Business Intelligence and Data Warehousing concepts. Web integration skills (Qlik Sense). Experience with other BI tools (Tableau, D3.js) is a plus. Strong SQL expertise and database design skills. Understanding of stored procedures, triggers, and tuning. 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. 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.

Other critical skills required

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

Experience working in the Pharma/ Lifesciences industry. Experience in storytelling with data Visualization best practices Knowledge/experience using Qlik, or PowerBI SaaS solutions.

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.

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