Principal Data Engineer Job in Springml

Design solutions for large-scale data analysis. Responsible to design and build data pipelines using GCP Dataflow to clean raw data and apply business rules to create the cleansed data. Deploy and manage scalable web applications on Google App Engine with microservices architecture and make it scalable for larger loads. Build CI/CD pipelines for Automated code development and deployment. Assist client projects on data integration, data prep and implement machine learning on datasets. Work with the latest technologies, collaborate with partners on early wins, adopt consultative approaches with clients, interact daily with executive leadership. Build & design the security on the project and guide the team on the importance of security and PHI data.

QUALIFICATIONS

• Bachelor s or foreign academic equivalent in Computer Science, Electronics & Communication Engineering, Computer Engineering, Management Information Systems or any related field plus five (5) years of progressively responsible experience.
• Will accept a Master s plus three (3) years of experience in lieu of BS + 5.
• Travel to unanticipated client sites in the U.S.
• Experience with Hadoop, Python, Scala, Machine Learning, Artificial Intelligence, Google Cloud Products (GCP), IBM Datastage required.

Location: Charlotte, NC, telecommuting permitted, HQ in Pleasanton, CA.