Data Engineer

• Conduct data extraction, validation and profiling to maximize the value of data • Design, implement, monitor and maintain data pipelines & ETLs for multiple data sources • Collaborate with researchers, experts and data scientists to comprehend data requirements as well as product design and deliver high-quality outcomes • Manage data development process, including methodology, QA and maintenance • Enthusiastic about big data, love challenging medical projects, and want to make a direct impact on the healthcare ecosystem • Bachelor's degree in industrial or information systems engineering, or equivalent. If you don’t have a degree, but your eyes shine when writing code – please also apply • Over 6 years of hands-on experience as a data engineer • Over 4 years of hands-on experience in Python scripting • Proficiency in working with a variety of data formats and databases (including cloud environments, SQL, and NoSQL databases, Parquet, Json format) • Experience with GIT work configuration, Environments and development method • Experience with AWS platform and cloud pipelines design • Prior experience in working with real world clinical data - a major advantage • Strong team player with the ability to take initiative and work autonomously, along with excellent communication skills.