Data Engineer

With a career at The Home Depot, you can be yourself and also be part of something bigger.Position Purpose: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.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:20% Implement a real time streaming data ingestion and processing pipeline using Google Dataflow (Apache Beam)20% 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 pipelines20% Maintain data architecture standards and ETL/ELT best practices consistent with a column oriented data store in an analytic use case20% Active and engaged participation in the Scrum delivery process20% Support solutions in productionDirect Manager/Direct Reports:Position Reports to 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 eighteen years of age or older.Must be legally permitted to work in the United States.Preferred Qualifications:Working knowledge of TableauWorking knowledge of presentation software (e.g., Microsoft PowerPoint)Demonstrated ability to collaborate and work effectively with cross-functional teamsDemonstrated project management skillsAbility to convey complex or technical ideas and processes in easy-to-understand terms to diverse audiencesExcellent written and verbal communication skillsUnderstanding of data engineering fundamentals and architectureExperience building ETL/ELT pipelines with orchestration through JenkinsStrong 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 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 supervision Minimum 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:No additional educationMinimum Years of Work Experience:3Preferred Years of Work Experience:No additional years of experienceMinimum Leadership Experience:NonePreferred Leadership Experience:NoneCertifications:NoneCompetencies:Action OrientedCollaboratesCommunicates EffectivelyCustomer FocusDrives ResultsSummaryLocation: PENNANT PARK, ATLANTA - 9141Type: Full time