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Sr Data Engineer - Assortment and Space Planning

Homedepot

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.