The Data Engineer I oversees the storage, processing, and management of petabytes (PBs) of medical imagery, ensuring the integrity and availability of this critical data.
Tulane's School of Science and Engineering is beginning a multi-year project to improve outcomes for prostate and colorectal cancer surgical patients. The project will involve rapidly scanning tumor excisions with high resolution and precision and then using advanced machine-learning techniques to detect residual tumor cells on the surface. The project will create a device to scan and present results to a surgeon while still in the operating room. This state-of-the-art device will be at the forefront of cancer treatment.
• Storage Systems: Experience with scalable storage solutions for large datasets (e.g., Hadoop, Apache Spark, AWS S3, Google Cloud Storage).
• Database Management: Proficient in managing databases, particularly those storing large volumes of imagery and metadata (e.g., SQL, NoSQL databases).
• Data Processing: Strong skills in data processing frameworks and tools (e.g., Apache Kafka, ETL processes).
• Backup and Recovery: Expertise in backup and disaster recovery procedures.
• Data Integrity: Experience with data validation and ensuring data integrity across large datasets.
• Syncing Data: Familiarity with data synchronization techniques and tools. (e.g., Globus)
• Proficiency in Python programming.
• Problem-Solving: Strong analytical and problem-solving skills with a proactive approach to identifying and addressing data-related issues.
• Excellent verbal and written communication skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Bachelor's Degree in Computer Science, Data Engineering, or a related field.
• 2 years of experience in data engineering or a related role.
• Master's Degree in a relevant discipline.
• 4 years of experience in data engineering or a related role.
• Experience in the healthcare industry or working with medical imagery.
• Knowledge of cloud platforms and services (e.g., AWS, Azure, Google Cloud).
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Experience with data security and privacy regulations (e.g., HIPAA).
Location: New Orleans, LA
Posted: Oct. 27, 2024, 5:10 a.m.
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