Acerca del puesto 623 - Data Engineer Sr (Python/SQL/GCP/Airflow/Spark)
Data Engineer
As a Data Engineer, you will be responsible for supporting our customer engagements by designing, developing and deploying scalable data-driven solutions in a high-performance, customer-driven environment.
If you are passionate 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
* Strong ability to perform design and code reviews
¡Postulate ahora y sumate a la querida Darwoft!
talento@darwoft.com
Consultas? Sigue al Recruiter
https://www.linkedin.com/in/hernanvietto/