DevJobs

Data Engineer

Overview
Skills
  • SQL SQL
  • Python Python
  • Kafka Kafka
  • Pandas Pandas
  • DynamoDB DynamoDB
  • CI/CD CI/CD
  • AWS AWS
  • GCP GCP
  • AWS Lambda AWS Lambda
  • Azure Azure
  • Docker Docker
  • Terraform Terraform
  • S3
  • Parquet
  • SNS
  • Kinesis
  • SQS
  • FHIR
  • JSON
  • API Gateway
  • Excel
  • Event Bridge
  • DICOM
  • CSV
  • CDK
  • AWS Step Functions
  • AWS CloudFormation
  • Athena
  • Polars
  • PySpark

GE HealthCare is a global leader in medical technology and digital solutions innovation. Our technology helps streamline workflows, automate manual tasks, and assists physicians via clinical decision support.

We are seeking an exceptional Clinical Data Engineer to join our Point of Care and Handheld Ultrasound Algorithm team at our Haifa site. The successful candidate will design and develop and maintain innovative Data Management and Dev Ops solutions tailored for modern AI needs solutions in a fast-growing medical ultrasound domain.

Job Description

Responsibilities:

  • Translate product and clinical needs to a data architecture
  • Definition development and maintenance of cloud and on-prem database solutions
  • Definition development and maintenance of cloud and on-prem data operation processes
  • Data preparation and analysis for regulatory submissions
  • Leading cross-team data projects with Algo, Clinical, Verification and Product teams

Requirements:

Must:

  • BSc in Computer Science, Electrical Engineering, Data Science, Biomedical Engineering or similar
  • Hands-on experience with cloud providers (Such as AWS/GCP/Azure)
  • Working with technologies such as AWS Lambda, S3, Athena, API Gateway, DynamoDB.
  • Working with orchestrators such as AWS Step Functions, Event Bridge, SQS/SNS, Kinesis or Kafka.
  • Knowledge of Docker, CI/CD processes, and infrastructure as code tools (e.g. AWS CloudFormation, Terraform, CDK)
  • In-depth knowledge of SQL and query optimizations.
  • Working with file formats such as JSON, CSV, Parquet, FHIR, DICOM.
  • Experience with writing unit, component, integration, and end-to-end tests.
  • Hands-on experience in data management and curation with Python, Excel
  • Excellent organizational and interpersonal skills.
  • A team player. Collaborative and communicative. Able to adapt to change

Advantage:

  • Experience with Dataframe-based libraries (Pandas, Polars, PySpark)
  • Background in medicine / medical industry and experience with standard medical terminologies such as UMLS
GE HealthCare