As part of the Astellas commitment to delivering value for our patients, our organization is currently undergoing transformation to achieve this critical goal. This is an opportunity to work on digital transformation and make a real impact within a company dedicated to improving lives.
DigitalX our new information technology function is spearheading this value driven transformation across Astellas. We are looking for people who excel in embracing change, manage technical challenges and have exceptional communication skills.
We are seeking committed and talented MDM Engineers to join our new FoundationX team, which lies at the heart of DigitalX. As a member within FoundationX, you will be playing a critical role in ensuring our MDM systems are operational, scalable and continue to contain the right data to drive business value. You will play a pivotal role in building maintaining and enhancing our MDM systems.
This opportunity is open to applications from residents in India only (Remote/Working from home).
Purpose and Scope:
As a Junior Data Engineer, you will play a crucial role in assisting in the design, build, and maintenance of our data infrastructure focusing on BI and DWH capabilities. Working with the Senior Data Engineer, your foundational expertise in BI, Databricks, PySpark, SQL, Talend and other related technologies, will be instrumental in driving data-driven decision-making across the organization. You will play a pivotal role in building maintaining and enhancing our systems across the organization. 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 solutions.
Essential Job Responsibilities:
Collaborate with FoundationX Engineers to design and maintain scalable data systems. Assist in building robust infrastructure using technologies like PowerBI, Qlik or alternative, Databricks, PySpark, and SQL. Contribute to ensuring system reliability by incorporating accurate business-driving data. Gain experience in BI engineering through hands-on projects. Data Modelling and Integration: Collaborate with cross-functional teams to analyse requirements and create technical designs, data models, and migration strategies. Design, build, and maintain physical databases, dimensional data models, and ETL processes specific to pharmaceutical data. Cloud Expertise: Evaluate and influence the selection of cloud-based technologies such as Azure, AWS, or Google Cloud. Implement data warehousing solutions in a cloud environment, ensuring scalability and security. BI Expertise: Leverage and create PowerBI, Qlik or equivalent technology for data visualization, dashboards, and self-service analytics. Data Pipeline Development: Design, build, and optimize data pipelines using Databricks and PySpark. Ensure data quality, reliability, and scalability. Application Transition: Support the migration of internal applications to Databricks (or equivalent) based solutions. Collaborate with application teams to ensure a seamless transition. Mentorship and Leadership: Lead and mentor junior data engineers. Share best practices, provide technical guidance, and foster a culture of continuous learning. Data Strategy Contribution: Contribute to the organization’s data strategy by identifying opportunities for data-driven insights and improvements. 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 practises across the organisation 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 optimise performance security and maintainability of existing data and platform architecture and other technology investments. Participate in the continuous delivery pipeline. Adhering to DevOps best practises 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.