We’re looking for Azure Data Engineer to join to team works on Medical AI & Analytics product, that aids data scientists in delivering efficient and reliable advanced clinical data analytics.
Responsibilities:
Build, develop and maintain data ingestion pipelines (ELT/ETL) especially focusing on non-tabular data such as images, documents, etc
Enhance platform efficiency by implementing continuous improvements.
Support our Clinical Digitalization through close collaboration within your agile team and across sibling agile teams to facilitate ongoing development.
Support our overall goal to improve the clinical experience for patients, doctors, and nurses world-wide by applying your technical expertise, insights, and curiosity.
Requirements:
Several years of experience working with Azure Cloud building high performance data pipelines
Azure Databricks
CI/CD pipelines (Azure DevOps, git)
Should have familiarity with building Ingestion and Transformation (ETL/ELT) pipelines, especially for non-tabular (aka NoSQL) data which could include stuff like images, documents, graph data etc.
Nice to have:
Experience in the Pharma domain or other highly regulated areas is an advantage.
Excels at multi-cultural communication and collaboration in distributed teams. A colleague who has a structured approach to organizing work, is open to feedback, works independently and adheres to deadlines.