Data Engineer, Data Foundations

As a Data Engineer, Data Foundations at our company, you will be responsible for designing and implementing scalable data systems that support our machine learning capabilities. You will work closely with our data science team to develop and maintain our data infrastructure, ensuring that it is highly available, secure, and performant. This is a critical role that will have a significant impact on our ability to deliver high-quality machine learning models to our customers.

Key Responsibilities:

• Design and implement scalable data systems that support our machine learning capabilities.
• Work closely with our data science team to develop and maintain our data infrastructure.
• Ensure that our data systems are highly available, secure, and performant.
• Collaborate with cross-functional teams to identify and prioritize data engineering projects.
• Develop and maintain data pipelines, data warehouses, and data lakes.

Requirements:

• 3+ years of experience in data engineering, with a focus on data foundations and machine learning.
• Strong understanding of data engineering principles, including data modeling, data warehousing, and data lakes.
• Experience with cloud-based data platforms, such as AWS.
• Proficiency in programming languages, such as Python.
• Strong problem-solving skills and ability to work in a fast-paced environment.