Quris Technologies seeks a highly motivated and creative Senior Data Engineer to quarterback our multidisciplinary drug-safety prediction system. In this position, you’ll lead the unique & challenging data pipeline in Quris. We are a dynamic, collaborative, creative startup with diverse talents and experiences, headquartered in Tel-Aviv, Israel and Boston, Massachusetts.

Responsibilities

• Build data pipelines and ETLs that collect and transform data to support ML models, analysis, and reporting
• Introduce new technologies into our data pipeline
• Work with stakeholders on data modelling, integration and data-related technical issues and support their data infrastructure needs
  
  

Required Qualifications

• 5+ years of practical experience in building data pipelines
• Proficient with Python, SQL
• End-to-end experience - owning features from an idea stage to production
• Familiarity with the data engineering tech stack: ETL and ELT tools, Airflow, Kafka, Dagster, Grafana, etc.
• Working with a cloud environment (GCP is an advantage)
• Experience with ML-Ops (Advantage)
• Ability to work as part of a team as well as independently. Great interpersonal skills