Data Engineer

Posted 1mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Design, build, and maintain data pipelines and data integration processes
Develop and support data lakes, data warehouses, and related data infrastructure
Work with multiple data sources including SQL Server, Salesforce, and Intacct
Create and maintain database objects such as tables, views, and data models
Support data extraction, transformation, validation, and automation efforts
Partner with business and technical teams to deliver reporting and analytics solutions
Improve data quality, consistency, scalability, and performance across analytics platforms
Document and maintain data processes and best practices

Experience in Data Engineering, Business Intelligence, or Analytics Engineering
Strong SQL skills including creating views, tables, queries, and data transformations
Experience building and maintaining data pipelines
Experience working with data sources including SQL Server, Salesforce, and Intacct
Experience with Microsoft Fabric
Experience with data lakes, data warehouses, and modern data architectures
Understanding of ETL/ELT processes, data modeling, and data quality best practices

Experience with AWS Redshift
Experience with Power BI, DAX, or other data visualization and reporting tools
Experience with Python or other scripting languages for data automation and analysis
Familiarity with cloud-based analytics and data platforms

Skills