Description

You will design and implement commercial data solutions within the life sciences domain.

This role is hybrid.

Responsibilities

• Build and manage data pipelines using Azure and Databricks.
• Develop ETL processes for commercial data.
• Query and manage large datasets using SQL.
• Apply life sciences domain knowledge to solve commercial data problems.

Required Skills

• 5+ years of professional experience in data engineering.
• Mandatory experience in life sciences 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.

Preferred Skills

• Experience with SQL Server or similar relational databases.
• Knowledge of data warehousing concepts.

Key Skills

Education

Any Graduate