Data Engineer
仕事内容
Design, build, and operate robust, scalable data workflows powering genomics, imaging, and downstream analytics.
Collaborate with biologists, informaticians, chemists, and data scientists to translate analytical needs into durable data models and pipelines.
Develop and maintain ETL/ELT workflows using modern orchestration frameworks such as Dagster, Airflow, or Nextflow.
Manage large scientific data assets, including genomic sequence files and histology images, with attention to performance, cost, metadata, and lifecycle management.
Build and operate backend data services and APIs (e.g., Athena, Postgres, FastAPI, GraphQL) to expose data to researchers and applications.
Uphold data quality, integrity, and traceability through validation, metadata standards, testing, and monitoring, while driving infrastructure improvements and clear stakeholder communication.
Collaborate with biologists, informaticians, chemists, and data scientists to translate analytical needs into durable data models and pipelines.
Develop and maintain ETL/ELT workflows using modern orchestration frameworks such as Dagster, Airflow, or Nextflow.
Manage large scientific data assets, including genomic sequence files and histology images, with attention to performance, cost, metadata, and lifecycle management.
Build and operate backend data services and APIs (e.g., Athena, Postgres, FastAPI, GraphQL) to expose data to researchers and applications.
Uphold data quality, integrity, and traceability through validation, metadata standards, testing, and monitoring, while driving infrastructure improvements and clear stakeholder communication.
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