Employer: US Foods
The Senior Data Engineer is responsible for the development and implementation of data pipeline solutions to support the organization’s reporting, analytics, and other data needs. The developer will work closely with stakeholds across functional areas to deliver well structured data in a reliable, efficient, and timely way.
The work is completed 100% remote anywhere in the United States except Hawaii or United States Territories.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
- Design and build large scale datasets for a wide range of consumer needs
- Build, test and implement highly efficienct data pipelines using a variety of technologies
- Ensure consistent use of standard data structures
- Analyze new data sources to understand quality, availability and content.
- Write technical design documentation
- Create and executes unit tests
- Supports QA team during testing
QUALIFICATIONS
Education/Training:
- Bachelor degree in Computer Science or related field required
- AWS certification preferred
Related Experience:
- 5+ years of professional IT experience
- 3+ years of data engineering related experience
Knowledge/Skills/Abilities:
- Proven ability to model data for reporting and analytics needs
- Proven ability to analyze and understand existing processes and code
- Works and communicates effectively with all levels of management
- Excellent written, verbal, and interpersonal skills.
- Must work well within team-oriented environments
Familiarity with:
- Use of CI/CD tools (Chef, Jenkins, Bamboo, Git/Bitbucket)
- Supporting self-service reporting and analytics
- Working with semi-structured data
Proficiency in one or more of the following:
- SQL
- Oracle, MySQL, other relational databases
- Python
- AWS (ERM, Lambda, IAM, S3)
- Linux
Nice to have:
- Snowflake
- Airflow
- R or Pandas
- API development (Mulesoft)
- Machine Learning
- Tableau
- Alteryx
- Kinesis or Kafkta
