Experienced Data Engineer for Cloud Infrastructure & Ml Platform

We are seeking an experienced Data Engineer to join our team and support our mission to revolutionize the electric pickup truck and rugged SUV marketplace. This role is crucial for building a high-performance cloud infrastructure, optimizing data integration, and implementing machine learning models to drive innovation within our platform.

The primary goal is to establish a scalable, secure, and efficient data ecosystem. This involves enabling seamless integration with multiple systems while ensuring strict compliance with data governance policies. The Data Engineer will be responsible for designing and implementing robust etl/elt pipelines, developing enterprise data models, and creating compelling bi dashboards to visualize key trends and forecasts.

Key requirements for this position include:
- Proven expertise in data engineering principles and practices.
- Strong experience with major cloud platforms, specifically AWS and Azure.
- Proficiency in Infrastructure as Code (IaC) tools, such as Terraform.
- Experience with streaming and event-based architectures.
- Familiarity with both structured and unstructured databases.
- Strong programming skills in Python and SQL.
- Hands-on experience with AWS-based services like Glue, Kinesis, and Firehose.
- Ability to develop, deploy, and manage scalable machine learning models to generate actionable business insights.

We are looking for a collaborative professional with strong problem-solving skills and the ability to thrive in a fast-paced, high-growth environment. This is a unique opportunity to contribute significantly to the development of a greenfield data platform, work closely with various stakeholders, and directly impact the success of our business.