Data Engineer (Remote)

Job Description

Come join our diverse Advance AI Team and start reimagining the future of the automotive aftermarket. We are a highly motivated tech-focused organization, excited to be in the midst of dynamic innovation and transformational change.  

Driven by Advance’s top-down commitment to empowering our team members, we are focused on delighting our Customers with Care and Speed, through delivery of world class technology solutions and products. We value and cultivate our culture by seeking to always be collaborative, intellectually curious, fun, open, and diverse.   As a Data Engineer within the Advance AI team, you will be a key member of a growing and passionate group focused on collaborating across business and technology resources to drive forward key programs and projects building enterprise data & analytics capabilities across Advance Auto Parts.

As a Data Engineer, you will develop robust advanced solutions that have a direct impact on the business.   You should have experience in JavaScript; a strong background in algorithms and data structures; hands-on AWS experience; expand and optimize data pipelines, data flow, and collection for cross functional teams.   You should also have a proven history of personal leadership and contributions to team value delivery and thrive in working in a product model using Scrum.

Essential Duties & Responsibilities

• Create and maintain optimal data pipeline architecture by assembling large, complex data sets to meet functional and non-functional business requirements.
• Identify and implement internal process improvements including automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
• Support the building of machine learning, data platforms, and infrastructure required for optimal data extraction, transformations, and loading of data from a wide variety of data sources.
• Work with architecture, data, and design teams to assist with data related technical issues and support data infrastructure needs.
   

Qualifications

• Required: experience in maintenance of a Tag Management Solution (TMS) with tools such as Tealium, Ensighten & DTM.
• Experience in web analytics related activities that will primarily focus on Governance, Implementation, Testing
• Strong understanding of front-end web technologies like JavaScript, HTML, Jquery and JSON.
• Experience implementing Machine Learning (ML) and Big Data platforms in Hybrid and multi-cloud environment specifically in AWS SageMaker environment. Experience in container, streaming and messaging technologies is a plus.
• Strong problem solving and analytical mindset.
• Proven ability to write robust, maintainable, and extendable code in JavaScript and Python framework.
• Experience with cloud architecture and technologies; specifically, Amazon Web Services.
• Experience with agile and test-driven development.
• Proven understanding of data structures, data modeling and software architecture
• Effective communication skills within varying levels of the organization (peers, the business, and technical/code.)

Education and/or experience

• Bachelor’s degree in Computer Science or related; and

• 4-6 years of professional experience in data engineering, or related field; or

• Equivalent combination of education and experience