Handle implementing data pipelines focused on Machine Learning applications.
Develop data sets for POCs to demonstrate new insights.
Partner with various cross functional teams to define, develop and implement data technology solutions.
Identify requirements of new features, propose design and drive the solution.

Requirements

3+ years of proven experience with Kubernetes, Docker is a plus.
Core contributor on ML projects with a focus on data ingestion, transformation and presentation for ML apps and reporting.
Proficiency in at least one programming language (Java, Python or Scala) and a tried understanding of SQL.
Previous experience of dealing with multivariate data at petabyte scale, especially in the time-series domain.
Previous experience with statistical modeling and deep learning frameworks / libraries.
Strong aptitude for learning new technologies related to Data Management and Data Science.
Understanding of data governance and data privacy is expected.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

KubernetesDockerMachine Learningdata ingestiondata transformationdata presentationJavaPythonScalaSQL

Soft Skills

collaborationproblem-solvingcommunicationadaptabilitylearning aptitude