
Data Engineer Machine Learning
As a Senior Data Engineer, you will contribute to the creation of a best-in-class DataOps function to support a data supply chain that provides for Capital’s data and analytics needs across its lines of business. You will provide leadership on defining data operations processes and support model, work with complex data pipelines, big data platforms hosted in the cloud, and provide innovative ways to operate and support complex data delivery solutions. You will also contribute to our goal of operational excellence through leadership, rigorous analysis, continuous improvement, and influencing enhancement decisions that reduce friction and increase reliability, while influencing and developing a thorough understanding of standards and best practices used by your team.
At least 8 years of experience in Data Engineering
Experience working on an Machine Learning Platform, like Databricks ML/ Sage Make
Advanced knowledge of technical and functional designs for SQL, databases, ETL, data pipelines, data warehousing, data lakes
Demonstrated understanding of Microsoft Azure, AWS or other cloud platforms
A strong background in backend system architecture patterns and technologies
Docker
Kubernetes
RESTful APIs
Time Management Skills
Kubeflow
Data pipelines and workflow
Data modeling and analysis skills
Advanced quantitative skills
Process Improvement
Results Oriented
Verbal communication
Detail Oriented
written communication
Problem-Solving
Flexibility/Adaptability
Multi tasker
According to JobzMall, the average salary range for a Data Engineer Machine Learning in 6455 Irvine Center Dr, Irvine, CA 92618, USA is between $115,000 and $144,000 per year. This range may vary depending on the industry, experience, location, and other factors.
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Capital Group is an American financial services company. It ranks among the world's oldest and largest investment management organizations, with $1.87 trillion in assets under management.

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