Data Engineer

About the role

The mission of the Data Engineer is to design, build, and maintain scalable, reliable data pipelines and warehouse models that turn complex life science and healthcare data into clean, trusted datasets that power analytics and decision-making.

What you'll do

• Develop scalable, reliable, and efficient data pipelines using dbt, Python, or other ELT tools
• Design, implement, and maintain scalable data orchestration and transformation processes, ensuring data accuracy, consistency, and timeliness
• Build and maintain scalable, complex dbt models
• Develop data warehouse structures, including dimension and fact tables
• Implement Type 1 and Type 2 slowly changing dimensions (SCDs) to accurately capture historical and current data

What you need

• Python
• SQL
• ETL
• dbt
• Data warehousing
• Data modelling
• MBA or B.Tech or B.E.

Good to have

• Snowflake
• AWS
• Git
• SSIS
• Learning and development
• Azure