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The Data Warehousing Specialist will bring senior-level knowledge and experience in building data integrations such as geospatial and alphanumeric data warehouses and/or data lakes, consolidating and geospatially enabling data, and publishing those data to meet user needs for mapping, reporting, and in general geospatial analysis or self-service business intelligence (BI) activities. Task planning, project management, and coordination skills will be important to work effectively with other data and project team members and leadership. The Data Warehousing Specialist will bring experience in a variety of data warehousing tools from both the traditional data warehouse and data lake perspective but also from the techniques used in the Modern Data Stack and/or other modern approaches to managing spatial data warehouses. Experience in data analysis, presentation, or self- service BI approaches will also be important to develop proof of concept and prototype reports and maps that can help end users visualize and interrogate data that is contained within the data warehouse, thus demonstrating the value of the environment.
Job Responsibility:
Bring senior-level knowledge and experience in building data integrations such as geospatial and alphanumeric data warehouses and/or data lakes
Consolidate and geospatially enable data
Publish data to meet user needs for mapping, reporting, and geospatial analysis or self-service business intelligence (BI) activities
Utilize task planning, project management, and coordination skills to work effectively with other data and project team members and leadership
Apply experience in a variety of data warehousing tools from both traditional data warehouse and data lake perspective and from techniques used in the Modern Data Stack and/or other modern approaches to managing spatial data warehouses
Use experience in data analysis, presentation, or self-service BI approaches to develop proof of concept and prototype reports and maps to help end users visualize and interrogate data contained within the data warehouse
Requirements:
At least 5 years’ experience with building data warehouses (including spatial data)
Experience working with data dashboards, reports, maps, or other visualizations from aggregated data
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