The company is looking for an experienced Data Engineer to work on healthcare data projects, focusing on developing and optimizing data pipelines and integrating data across multiple cloud environments.
Requirements
- 5+ years of experience with BI and Data Warehouse development
- Strong practical experience in designing and implementing ETL processes
- Practical experience with AWS Redshift (data modeling, optimization, SQL development)
- Hands-on experience with Airflow and Fivetran (or similar orchestration/integration tools)
- Experience with AWS environments
- Strong skills in SQL and performance tuning for large datasets
- Experience with Azure and Google Cloud environments
Responsibilities
- Design and implement ETL processes for data integration from multiple heterogeneous sources (6–10 systems)
- Develop and optimize SQL/ETL pipelines in Redshift, Airflow, and Fivetran
- Participate in migration from third-party ETL tools to in-house data ingestion solutions
- Integrate and synchronize data flows between Redshift, Azure, and BigQuery environments
- Build and maintain data models for Power BI reporting
- Conduct performance tuning and data quality improvements
- Write test scenarios and validate developed ETL subsystems
Other
- Excellent communication and presentation skills
- Participation in enterprise-level data projects
- Good written and spoken English (Upper-Intermediate)
