🛠 Tech Stack

💼 About This Role

You'll lead the design and execution of data-driven solutions for commercial strategy in the life sciences industry, driving innovation across data engineering and analytics. You'll mentor teams and develop scalable data products that translate complex data into actionable insights.

🎯 What You'll Do

• Lead cross-functional teams to design and deliver client data solutions
• Optimize data processes and pipelines using Python and Spark
• Manage client communications and project timelines independently
• Mentor junior team members and contribute to business development

📋 Requirements

• 7-10 years professional experience in data engineering
• Python with PySpark experience
• Relational databases like PostgreSQL, Oracle, MySQL, Snowflake
• Databricks platform experience

✨ Nice to Have

• Web application development with FastAPI, React JS
• Experience with AI tools
• Pharmaceutical industry data analytics best practices