Key skills
SQLETLELTSnowflakeDatabricksAWSAzureAzure DevOpsCommunication
About this role
Lippert is a leading global manufacturer and supplier of engineered products and solutions. The Data Engineer will document, support, and automate the cloud data warehouse, requiring experience with ELT/ETL and dimensional modeling.
Responsibilities:
- 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
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
- Must be legally authorized to work in the United States
- Possession of a valid driver's license
- 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