Description

You will build commercial data solutions within the life sciences domain.

Responsibilities

• Design and implement data pipelines using Azure and Databricks.
• Develop ETL processes for commercial data.
• Work with SQL to manage and query large datasets.
• Apply domain knowledge to solve life sciences commercial data problems.

Required Skills

• 5+ years of professional experience in data engineering.
• Mandatory experience in life sciences domain commercial data (sales, marketing, payer data).
• Proficiency with Azure.
• Expertise in Databricks.
• Strong SQL skills.
• Experience building and managing Data Pipelines.
• Proficiency in ETL methodologies.

Key Skills

Education

Any Graduate