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As a Data Engineer, you will be responsible for ing our customer engagements by deg, developing and deploying scalable data-driven solutions in a high-performance, customer-driven environment.
If you are ionate about leveraging the power of AI to help clients reach their full potential, this is the opportunity for you!
Role and Responsibilities:
Build out data pipeline processes and services at scale in collaboration with engineering peers and leads
Work with Tech Lead, Product, and peer engineers to build and maintain data pipelines across many data sources of various sizes/complexity
Build and extend initiatives around data quality, monitoring, and processing of customer data
Ensure engineering designs are guided by high performance, scalability, security, following the strict healthcare policy compliance, with low cost
Agile through experimentation, prototyping, and solid execution
Preferred Experience:
BS or MS in Computer Science, Computer/Electrical Engineering, or closely related Software Engineering field
An excellent track record (5+ years) of delivering data engineering solutions
Experience with working with diverse data sets from relational databases to unstructured datasets in Hadoop
Experience with Airflow
Experience with cloud platforms, such as Google Cloud Platform, Amazon Web Services, etc.
Experience with Healthcare and Life Sciences domain
A great collaborator who can work across operating styles and can bring together multiple perspectives, able to handle conflicts with the best interests of the company and customers in mind
Able to translate business and technical requirements into clean/logical design
Queremos impulsar los conocimientos de la comunidad de una forma nueva. Los expertos añadirán información directamente a cada artículo, generado inicialmente con inteligencia artificial.