Azure Data Engineer

Industry: Life Science/Pharmaceutical

Work model: 100% remote

Assignment type: B2B

Start: ASAP/1 month

Project length: 12 months + extension

Project language: English

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.