We are looking for a passionate Data Engineer with strong experience in Python, Apache Airflow, and Amazon Redshift to design, develop, and maintain scalable data pipelines and data warehouse solutions. The ideal candidate should have prior experience working in the Healthcare, Pharma, Life Sciences, or Clinical Data domain.
Mandatory Skills
- Python (Solid hands-on experience)
- Apache Airflow
- Amazon Redshift
- Advanced SQL
- ETL/ELT Pipeline Development
- Data Warehousing Concepts
- AWS Cloud Services
- Data Modeling
- Data Integration
Domain Requirements Candidates must have experience in at least one of the following:
- Healthcare
- Pharmaceutical
Responsibilities
- Design and develop scalable data pipelines using Python and Airflow.
- Build and optimize data warehouses in Amazon Redshift.
- Develop ETL/ELT processes for large-scale data processing.
- Work with business stakeholders to understand data requirements.
- Ensure data quality, governance, and integrity across platforms.
- Integrate data from multiple sources into enterprise data platforms.
- Perform performance tuning and optimization of data pipelines.
- Collaborate with analytics and reporting teams to deliver data solutions.