Business Intelligence Engineer II

Ensemblehp Hr

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

Responsibilities

  • Design, develop, and maintain enterprise-grade Power BI reports, dashboards, and analytical solutions
  • Collaborate with stakeholders to translate business requirements into scalable reporting solutions
  • Build and optimize ETL processes using Azure Data Factory, Databricks, and SQL
  • Automate data collection, transformation, validation, and distribution processes
  • Perform data validation, reconciliation, and User Acceptance Testing (UAT)
  • Investigate production issues and perform root cause analysis
  • Provide technical guidance and mentorship to junior BI engineers
  • Participate in Agile ceremonies including sprint planning and retrospectives

Requirements

  • 2+ years of experience developing Power BI reports and dashboards in an enterprise environment
  • 2+ years of experience with relational databases and advanced T-SQL development
  • 2+ years of experience with Azure Data Factory, Azure Databricks, or equivalent cloud data technologies
  • 2+ years of experience designing and implementing ETL/ELT solutions
  • Strong proficiency in SQL development and complex query optimization
  • Experience with Python or Spark SQL for data processing
  • Knowledge of data modeling principles and dimensional modeling
  • Strong understanding of ETL design patterns and SDLC methodologies

Preferred Qualifications

  • Microsoft Azure Certifications (Data Engineering, Analytics, or Power Platform)
  • Experience with healthcare revenue cycle management and healthcare analytics
  • Experience with Azure DevOps, Git, and CI/CD practices
  • Knowledge of API development and integration
  • Familiarity with PowerShell scripting and Visual Studio Code

Skills & tools

Power BISQLDatabricksPythonETL

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01Power BI report development
  2. 02Advanced DAX
  3. 03SQL development
  4. 04Azure Data Factory
  5. 05Azure Databricks
  6. 06Data modeling
  7. 07Python or Spark SQL
  8. 08ETL design patterns
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