Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians.  If you want to be part of this exciting work, you belong at Astellas!

 

Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at www.astellas.com.

 

This is a remote position and is based in India. Remote work from certain states may be permitted in accordance with Astellas’ Responsible Flexibility Guidelines. Candidates interested in remote work are encouraged to apply.

 

Purpose and Scope:

Commercial (GrowthX) Data Integration service - to manage the commercial integration backlog and development team.

 

Essential Job Responsibilities:

As a DataBricks Developer, you will be making a vital contribution in the following areas:

Assist in designing and building scalable data pipelines using DataBricks. Collaborate with data modelers to create efficient data structures. Develop and maintain Python scripts for data processing and transformation. Work with Azure and AWS services for data storage and processing. Contribute to the optimization of data workflows and ETL processes.  

This is a fantastic global opportunity to use your proven agile delivery skills across a diverse range of initiatives, utilize your development skills, and contribute to the continuous improvement/delivery of critical IT (Information Technology) solutions. 

As part of this exciting role, you will also be involved in the following areas:   

End-to-End Data Solutions: Supporting the design of end-to-end data streams, storage, data serving systems, and analytical workflows. Define overall architecture, capabilities, platforms, tools, and governing processes. Data Pipeline Development: Build data pipelines to extract, transform, and load data from various sources. Set up metadata and master data structures to support transformation pipelines in Databricks. Data Modelling Collaborate with key stakeholders to create efficient data models and data structures in the DataBricks environment Data Warehousing and Data Lakes: Supporting creation of data warehouses and data lakes for efficient data storage and management. Develop and deploy data processing and analytics tools. Collaboration with DataX and other key stakeholder value teams: Work closely with data scientists to develop and deploy data-driven solutions. Provide technical direction to Data Engineers and perform code reviews. Continuous Learning: Stay up to date on the latest data technologies, trends, and best practices. Participate in smaller focused mission teams to deliver value driven solutions aligned to our global and bold move priority initiatives and beyond. 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.