Job Description

Your mission at IntegriChain:

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 to thrive in this role:

- Develop scalable, reliable, and productive 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




- Manage and execute data mart updates to support downstream reporting and analytics
- Build conformed dimensions through integration with Master Data Management (MDM) systems
- Work with life science and healthcare datasets, applying domain knowledge to ensure data quality and relevance
- Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
- Partner closely with data analysts and data scientists to deliver clean, well-structured datasets for analysis and modeling
- Collaborate with fellow engineers across Git repositories, following sound version control and code review practices

📌 Data Engineer (Pune)
🏢 IntegriChain
📍 Pune