Process Data Engineer I - Pharmaceutical Product Development

About the role

We are seeking an early-career Data Engineer passionate about creating high-quality scientific data products and contributing to the development of data fabric to support advanced analytics, AI, machine learning, and scientific decision-making across Pharmaceutical Product Development. The ideal candidate will be an engineer who sees data not as a collection of tables, but as a strategic asset that powers scientific discovery and AI innovation.

What you'll do

• Build scientific data products for product development focused on datasets for molecular features, material properties, laboratory data
• Contribute to initiatives for data structuring and data contextualization
• Develop and maintain scalable data pipelines supporting analytics, AI, and scientific modelling initiatives
• Transform raw scientific and operational data into trusted, model-ready data products
• Work with cross-functional teams to improve data accessibility, reliability, and quality

What you need

• 2–5 yrs of experience
• SQL
• Python
• ETL
• Databricks
• dbt
• Data modelling
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• Spark
• Data warehousing
• AWS
• LLMs
• Machine learning
• CI/CD