Public Partnerships - Salem, OR

posted about 2 months ago

Full-time
Salem, OR
Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

The position involves collaborating with Data Engineers to design and build data models within Databricks SQL, focusing on creating optimized external tables for BI tools. The role emphasizes developing and maintaining analytical datasets for enterprise reporting and self-service BI, as well as designing and developing Power BI reports and dashboards. The candidate will work closely with business stakeholders to gather reporting requirements and ensure high performance of reports through proper data modeling and automation.

Responsibilities

  • Collaborate with Data Engineers to design and build data models within Databricks SQL
  • Create optimized external tables for serving data from the Gold layer to BI tools
  • Develop and maintain analytical datasets for enterprise reporting and self-service BI
  • Design and develop Power BI reports and dashboards
  • Enable business users to extract data through self-service extracts
  • Implement row-level security (RLS) and column-level security (CLS) in Power BI
  • Create compelling data visualizations using Power BI for enterprise analytics
  • Ensure high performance of reports and dashboards through proper data modeling
  • Automate the scheduling and publishing of Power BI reports
  • Monitor and optimize Power BI datasets and dataflows for performance
  • Work closely with business stakeholders to gather reporting requirements
  • Document the data models, metrics, and KPI definitions

Requirements

  • Proficiency in Power BI (Dashboards, Reports, Dataflows)
  • Experience with SQL Server and Databricks SQL for building analytical models and queries
  • Knowledge of Data Warehousing and ETL pipelines
  • Familiarity with DAX and Power Query for advanced reporting
  • Experience with row-level security (RLS) and column-level security (CLS)
  • Proficiency in Azure Data Factory and Databricks for orchestrating data pipelines
  • Experience in report automation, data scheduling, and self-service BI
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