Cloud Data Engineer

Website iLoF (intelligent Lab on Fiber, Ltd)

iLoF is working to enable a new era of personalized medicine, by using AI and photonics to build a cloud-based library of diseases biomarkers and biological profiles.

Job Description

Background: Computer Engineering/Informatics/Computer Science/ Biomedical or Electrical Engineering/IT Engineering

Responsibilities:
•    Work with data science team to efficiently use cloud infrastructure to analyze data, build models, and generate reports/visualizations
•    Work with Projects to help them adopt cloud infrastructure and services to reduce cost and deployment times
•    Querying datasets, visualizing query results and creating reports
•    Ensure databases, datasets and cloud infrastructure are secure, avoid data leakage and comply with data anonymization
•    Integrate ML pipelines into databases
•    Integrate massive datasets from multiple data sources for data modelling
•    Implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production
•    Perform hands on management of cloud infrastructure
•    Manage the laboratory management software solution by maintaining and improving upon existing features
•    Construction of micro service architecture for IoT based medical devices
•    Managing partners/users data transfer to cloud-based system

Qualifications

Required Skills:
•    Experience in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of Azure/GCP/AWS data and analytics services (preference for Azure)
•    Experience in designing, building and automating production data pipelines from ingestion to consumption within a hybrid big data architecture (preference for Azure)
•    Previous experience in Architecting and implementing data governance and security for data platforms
•    Previous experience in Machine Learning pipelines automation
•    Knowledge in machine learning algorithms
•    Languages: .NET, Python, C++
•    Database Knowledge: SQL Server and Postgres
•    Framework Knowledge: Kafka, Tensorflow, PyTorch
•    Open-minded, Hands-on attitude and good command of English language
Additional Skills:
•    Experience with the following Azure Services: Azure ML, Azure IOT Hub, Service Bus, Logic Apps
•    Experience building CI/CD pipelines using GithHub actions
•    Experience with IaC tools such as Terraform and Cloud Formation
•    Experience with both relational and non-relational databases
•    Distributed Technologies: Spark, Hadoop, etc
•    Experience with both relational and non-relational databases
•    Previous experience in the Health Sector is a plus

Additional Information

Benefits & perks:
Competitive compensation

Equity options

Fast career progression in a rapidly-scaling startup

Private health insurance


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