Data Engineer

Home Depot • Atlanta, GA

10h • Onsite

About The Position

The Data Engineer is an exciting role with The Home Depot’s Home Services team that will revitalize and invigorate the way we manage and view data. For this role, we are looking for someone who can develop, implement, test and maintain data pipelines and data structures within a cloud-based data store & warehouse. This person will support the Home Services BI and Data Science strategic initiatives to drive better customer experiences, more profitable outcomes, and actionable business insights. As a Data Engineer, you will be part of a dynamic team with data practitioners of all experience levels who help each other build and grow technical skills while creating, deploying, and supporting data products. Our entrepreneurial roots and maverick mentality, coupled with the resources and backing of the #1 home improvement retailer in the world, The Home Depot, is a unique opportunity for you to be a transformative data professional. Our culture is rooted in curiosity, development, and fun. Most importantly, our team members are always inspired, engaged, and ready for growth. That means you'll have the resources and the runway to create exceptional out-of-the-box work. Moreover, you will play an important role in leveraging our culture, people, systems, processes, and technology - ultimately to provide incredible customer and associate experiences, while growing business for Home Services and The Home Depot. This is your chance to be part of something big!

Requirements

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• Working knowledge of Tableau
• Working knowledge of presentation software (e.g., Microsoft PowerPoint)
• Demonstrated ability to collaborate and work effectively with cross-functional teams
• Demonstrated project management skills
• Ability to convey complex or technical ideas and processes in easy-to-understand terms to diverse audiences
• Excellent written and verbal communication skills
• Understanding of data engineering fundamentals and architecture
• Experience building ETL/ELT pipelines with orchestration through Jenkins
• Strong SQL query writing with columnar databases (BigQuery)
• Exposure to CI/CD tools (jenkins), version control (git), data processing (dbt), and workflow orchestration (airflow/kubeflow/etc.)
• Experience with data warehousing and dimensional modeling
• Programming ability (python)
• Familiarity with Agile methodologies and the Jira platform
• Ability to go from whiteboard discussion to code
• Ability to communicate effectively with technical and non-technical audiences
• Natural inclination to explore and implement new ideas and technologies
• Experience working directly with subject matter experts in both business and technology
• Ability to act independently with minimal supervision
• The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Responsibilities

• Implement a real time streaming data ingestion and processing pipeline using Google Dataflow (Apache Beam)
• Interface with business intelligence analysts and others in IT (i.e. data engineers, architects, WebOps) in frequent whiteboard sessions to discuss the design, implementation, and testing of data pipelines
• Maintain data architecture standards and ETL/ELT best practices consistent with a column oriented data store in an analytic use case
• Active and engaged participation in the Scrum delivery process
• Support solutions in production

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level