ML Enablement Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Description
Responsibilities
Qualifications
Required Skills
- Bachelors degree in a Technical Field: Computer Science Data Science Computational Finance Statistics Economics and/or Mathematics: Masters Preferred
- 5 years of experience in data solution pipeline mart and/or warehouse development and delivery using agile development methodology
- Critical thinking skills to propose solutions test and make them a reality.
- 2 years of experience in a Data Engineering Competency on a public cloud Google
- 2 years Integration and Configuration Scripting in Tekton and Terraform
- 3 years of experience writing complex SQL
- 3 years of experience writing data solutions in Python
- Deep understanding of data service ecosystems including data warehouses lakes metadata meshes fabrics and analytical use cases
- User experience advocacy through empathetic stakeholder relationship
- Excellent Communication Skills Verbal and Written for both internal and external team members
Responsibilities
- Design Develop and Implement data engineering solutions using standards templates patterns and best practices in the Google Cloud Platform
- Full stack data engineering solutions utilizing both structured and unstructured data:development ingestion curation implementation deployment automation and monitoring
- Collaborates with the Data Factory Engineering Organization Data Architecture PEM GDIA Information Technology and Data Consumers to drive data engineering capabilities product design and proof of concepts MVPs to expand understanding define technical optimization explore configurations and overcome challenges
- Create high quality elegant data engineering solutions that focus on cloud-first encapsulation repeatability automation and auditability
- Work as an individual contributor and part of a team to build test maintain and troubleshoot data solutions
- Continuously integrates and deploys data solutions via CI/CD
- Use of Test Driven Development and Code Pairing Practices
Qualifications
- Bachelors degree in a Technical Field: Computer Science Data Science Computational Finance Statistics Economics and/or Mathematics:
Key Skills
- ASP.NET
- Health Education
- Fashion Designing
- Fiber
- Investigation
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