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
- 대학교 졸업(4년) 이상, 경력 5년 이 - 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.
우대사항
- 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.
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