Overview
Summary/ObjectiveThe Data Engineer documents, supports, and automates the cloud data warehouse for Lippert Components. The candidate should have experience with ELT/ETL and dimensional modeling. The candidate must be able to work in a dynamic and rapidly expanding environment.
Essential Functions- Create data pipelines
- Create data models using a star or snowflake architecture
- Perform hands-on coaching to peers
- Excellence in communication as a liaison with vendors and other Data Services personnel to resolve issues
- Strong desire to document and automate common tasks
- Document key responsibilities
- Act as support escalation
- Troubleshoot problems and quickly resolve issues
Supervisory ResponsibilityThis position has no supervisory responsibility.
Physical DemandsWhile performing the duties of this job, the employee is regularly required to stand, walk, use hands to handle, feel, or reach. This position is not very active when it comes to movement and requires a lot of typing and sitting in a chair.
Position Type/Expected Hours of WorkThis is a full-time salary position and the expected work hours are 40 hours per week, Monday through Friday.
TravelThere is minimal to no travel with this position.
Competencies- You're compassionate and trustworthy, and set high standards
- You're not afraid to ask questions and you are open to constructive criticism
- You're self-driven and take ownership of your work
- You're enthusiastic and adapt to change well
- Ability to communicate (written and verbal) clearly, concisely and effectively
Requirements- At least 2 years of experience building ELT or ETL pipelines
- At least 2 years of experience with SQL
- At least 2 years of experience with dimensional modeling
- Public cloud experience (AWS, Microsoft Azure)
- Strong customer-facing written and oral communication skills
- Experience troubleshooting and configuring data pipelines
- Manages daily requests from business operations
- Customer service based - An ability to be flexible and use different approaches in different situations
- Excellent communication - Being able to convey information to other employees clearly and simply
- Strong technical writing ability
- Strong attention to detail
- 3+ years of experience in an enterprise IT environment
- Multiple office locations - some travel may be required
What'll Make you Special- Experience with cloud data warehouses
- Experience with Dynamics365 for Finance and Operations or DynamicsAX
- Experience with Kimball or Immon data warehouse architecture
- Experience with PowerBI
- Experience with Azure DevOps
- Experience with Databricks
Work Authorization/Security Clearance:- Must be legally authorized to work in the United States.
- Possession of a valid driver's license
Other DutiesPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Pay Group : AAP/EEO Statement
