Position Purpose:
The Sr. Data Engineer is an exciting new 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 Sr. 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.
Why work here? 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!
Key Responsibilities:
Direct Manager/Direct Reports:
This Position typically reports to the Manager or Sr. ManagerThis Position has 0 Direct ReportsTravel Requirements:
Typically requires overnight travel less than 5% of the time.Physical Requirements:
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.Working Conditions:
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.Minimum Qualifications:
Must be at least 18 years oldMust be legally permitted to work in the United StatesPreferred Qualifications:
Native understanding of data engineering fundamentals and architectureExperience building ETL/ELT pipelines with orchestration through JenkinsStrong SQL query writing with columnar databases (BigQuery)Substantial experience with CI/CD tools (jenkins), version control (git), data processing (dbt), and workflow orchestration (airflow/kubeflow/etc.)Experience with data warehousing and dimensional modelingProgramming ability (python)Familiarity with Agile methodologies and the Jira platformAbility to go from whiteboard discussion to codeAbility to communicate effectively with technical and non-technical audiencesNatural inclination to explore and implement new ideas and technologiesExperience working directly with subject matter experts in both business and technologyAbility to act independently with minimal supervisionMinimum Education:
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.Preferred Education:
The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.Minimum Years of Work Experience:
5Preferred Years of Work Experience:
7Minimum Leadership Experience:
No previous leadership experiencePreferred Leadership Experience:
No previous leadership experienceCertifications:
NoneCompetencies:
Action OrientedCollaboratesDrives EngagementCommunicates EffectivelyCustomer FocusDrives ResultsManages Conflict