Senior BI Engineer
| Company | The Home Depot |
|---|---|
| Location | Atlanta, GA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Senior |
Requirements
- Must be 18 years of age or older.
- Must be legally permitted to work in the United States.
- 4 years of relevant work experience
- Ability to code in Python
- Strong verbal and written communications skills at all levels
- Strong analytical skills and experience using data visualization and reporting tools (e.g., Tableau, Power BI, Google Analytics).
- Demonstrated experience with data management, reporting, and marketing technology optimization.
Responsibilities
- Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage.
- Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team.
- Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation.
- Guide and direct project teams in the requirements gathering, design, and development of complex applications/programs; Seek further knowledge on key developments within advanced analytics, technical skill sets, and additional data sources; Participate in the continuous improvement of predictive and prescriptive analytics by developing replicable solutions.
Preferred Qualifications
- Masters in a quantitative field (Analytics, Computer Science, Math, Physics, Statistics, etc.) or relevant work experience
- 5+ years of relevant work experience
- Demonstrated experience in predictive modeling, data mining and data analysis
- Demonstrated experience developing and testing ETL jobs/pipelines, configuring orchestration, automated CI/CD, writing automation scripts, and supporting the pipelines in production
- Experience in high-level programming languages such as Python
- Experience defining and capturing metadata and rules associated with ETL processes
- Experience building Batch and Streaming pipelines
- Prior direct experience writing analytical SQL queries and performance-tuning queries
- Ability to stitch and maintain data from multiple sources
- Proven ability to use PySpark, AirFlow, and DataProc to engineer and automate data flows pipelines
- Ability to optimize the pipelines run time and lower the cost on slots/storage consumption
- Coaching junior engineers to help improve their code, best practices, and understanding of data engineering principles.