Online Sr Data Engineer (SEO)

Based in Atlanta, GA and operating onsite, this role sits at the heart of Home Depot's THD online data initiatives. The Online Senior Data Engineer will define data operation standards, build and sustain data pipelines, and enable analytics capabilities that align with the company's digital data needs.

Responsibilities

• 20% - Business Collaboration
  • 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
• 30% - Project Management & Team Support
  • 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
• 35% - Solution Development
  • 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
• 15% - Technical Exploration & Development
  • 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

Requirements

• Must be 18 years of age or older
• Must be legally permitted to work in the United States

Technologies

• Python
• Google BigQuery
• PySpark
• Airflow
• DataProc
• SQL
• JavaScript
• React
• Nucleus
• Retina
• KPI Shield
• Alert Goose

Direct Manager / Direct Reports

• This Position typically reports to Manager or Above
• This role has 0 direct reports

Travel Requirements

Typically requires overnight travel 5% to 20% of the time

Physical Requirements

Most of the time is spent sitting in a comfortable position with periodic movement; occasional lifting of light items may be required.

Working Conditions

Located in a comfortable indoor environment; adverse conditions are infrequent and not objectionable.

Minimum Qualifications

• Must be 18 years of age or older
• Must be legally permitted to work in the United States

Preferred Qualifications

• Bachelors or Masters in a quantitative field (Analytics, Computer Science, Math, Physics, Statistics, etc.) or relevant work experience
• 5+ years of relevant work experience
• Experience in predictive modeling, data mining and data analysis
• Experience developing and testing ETL jobs/pipelines, configuring orchestration, automated CI/CD, scripting, and supporting pipelines in production
• Proficiency in Python
• Experience defining and capturing metadata and rules for ETL processes
• Experience building Batch and Streaming pipelines
• Direct experience writing analytical SQL queries and performance tuning
• Ability to stitch and maintain data from multiple sources
• Experience with JavaScript, front-end frameworks (React, Nucleus), and QA apps (Retina, KPI Shield, Alert Goose)
• Ability to produce tags for site data
• Proficiency coding in Python and Google BigQuery to stitch and enrich data from multiple sources
• Proven ability to use PySpark, AirFlow, and DataProc to engineer and automate data pipelines
• Skill in optimizing pipeline run times and reducing storage/compute costs
• Ability to prioritize requests and manage a product roadmap
• Coaching experience to help junior engineers improve code and data engineering practices
• Strong verbal and written communications across all levels

Minimum Education

Bachelor's degree or equivalent in a related field

Preferred Education

Master's degree or equivalent in a related field

Minimum Years of Work Experience

4 years

Preferred Years of Work Experience

5 years

Minimum Leadership Experience

No previous leadership experience

Preferred Leadership Experience

No previous leadership experience

Certifications

None

Competencies

• Action Oriented
• Collaborates
• Drives Engagement
• Communicates Effectively
• Customer Focus
• Drives Results
• Manages Conflict