Sr Data Engineer - Assortment and Space Planning
- Atlanta, United States
- Senior Level
- 8+ years
- Bachelor's degree
- Posted
Skills
Required
- message queuing
- stream processing
- data stores
- SQL
- NoSQL databases
- relational databases
- query authoring
- data pipelines
- Airflow
- Python
- Java
- C#
- Scala
- GoLang
Preferred
- data architecture
- Data Validation
- ETL
- Infrastructure Development
- Coding
- validation
- data integration
- Data Infrastructure Maintenance
- data pipeline architecture
- With a career at The Home Depot, you can be yourself and also be part of something bigger.
- The Sr Data Engineer will expand and optimize data, data flow, data collection for cross functional teams, and data pipeline architecture.
About Homedepot
- Effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
- Cultivates Innovation - Creating new and better ways for the organization to be successful
- Engagement - Creating a climate where people are motivated to do their best to help the organization achieve its objectives
Responsibilities
- The Sr Data Engineer will support and collaborate with the software engineering team, data analysts, and data scientist to ensure data delivery architecture is consistent throughout ongoing projects.
- Continuously improve or re-design data architecture to support the next generation of products and initiatives.
- 40% Data Validation, ETL, Infrastructure Development: Coding validation and ETL to ensure successful data integration 30% Data Infrastructure Maintenance: Backup and optimization activities to maintain performance; code, configure, test, etc data to ensure integrity 20% Data Architecture Design and Analysis: Create and maintain optimal data pipeline architecture; Develop data architecture to meet business requirements 10% Planning/Requirements Analysis: Collaborate with team leads and cross functional partners to assess business requirements and communicate opportunities
Requirements
- Must be eighteen years of age or older.
- Must be legally permitted to work in the United States.
- Experience message queuing, stream processing, and scalable data stores
- Experience managing projects and organizing data
Experience supporting and working with cross-functional teams
- Experience with SQL, NoSQL databases, relational databases, and query authoring
- Experience building and optimizing data pipelines, architectures, data sets and workflow management tools such as Azkaban, Luigi, Airflow, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C#, Scala, GoLang, etc.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement Preferred Qualifications: 8+ years of previous related work experience
- Ability to convey complex or technical ideas and processes in easy-to-understand terms to diverse audiences
- Ability to negotiate, handle complaints, settle disputes, and resolve grievances with both internal and external customers
Excellent written and verbal communication skills
- 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.
- 5 Preferred Years of Work Experience: No additional years of experience
- None Preferred Leadership Experience: None Certifications: None Competencies: Collaborates - Building partnerships and working collaboratively with others to meet shared objectives
- Instills Trust - Gaining the confidence and trust of others through honesty, integrity, and authenticity
- Work Processes - Knowing the most effective and efficient processes to get things done with a focus on continuous improvement
- Plans and Aligns - Planning and prioritizing work to meet commitments aligned with organizational goals
- Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.
Preferred
- No additional education
- Nimble Learning - Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
Direct Manager/Direct Reports
This position reports to the Technology Leader. This position has 0 direct reports.
Travel Requirements
Typically requires overnight travel less than 10% 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.
