[담당업무]

- Design, build and manage data infrastructure including data lakes, warehouses, and databases to harness extensive medical data resources.
- Develop complex ETL/ELT pipelines and data orchestration processes.
- Develop advanced data analytics tools to drive business insights and decision-making across the organization.
- Establish a scalable and automated data system on Google Cloud Platform (GCP).
- Collaborate closely with data scientists and ML engineers to ensure seamless data development cycles for continuous improvement of AI solutions.

[자격요건]

- Proficiency in Python and SQL.

- Basic knowledge of statistics and machine learning concepts.

- Excellent problem-solving skills, attention to detail, and the ability to work both independently and collaboratively.

[우대사]

- Experience with cloud-based data platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.

- Experience with data pipelines and orchestration tools like Airflow, Prefect, Dagster, etc.

- Experience with analytics/visualization tools such as Tableau, Power BI, Grafana, Streamlit, etc.

- Experience with Git and Github for version control and collaboration.

- Experience with Docker and Docker Compose for software containerization and orchestration.

- Experience with medical or healthcare data.