The Home Depot is the #1 home improvement retailer in the world, and they are seeking a Data Engineer to enhance their Home Services team. The role involves developing, implementing, testing, and maintaining data pipelines and data structures to support business intelligence and data science initiatives, ultimately driving better customer experiences and actionable insights.
Responsibilities:
- 60% Solution Development - Develop, test, deploy, and maintain data pipelines and products; Maintain established data architectural standards and ETL/ELT best practices consistent with a cloud-based data store in an analytic use case. Consistently helps the team achieve results even under tough circumstances
- 20% Collaboration - Interface with analysts, data scientists, product managers, business leaders, and others in IT to discuss the design, implementation, and testing of data pipelines and products. Actively engage in the Agile delivery process and participate in improvement conversations
- 20% Technical Exploration & Development - Learn through successful and failed experimentation when tackling new problems; Actively seek ways to grow and be challenged using both formal and informal development channels (including self-development)
Requirements:
- Must be eighteen years of age or older
- Must be legally permitted to work in the United States
- 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
- 3 years of work experience
- No previous leadership experience
- 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 master's degree program or equivalent degree in a field of study related to the job
- 3 years of preferred work experience
- No previous preferred leadership experience