Power BI Developer

CapgeminiBridgewater, NJ
$80,420 - $106,050Hybrid

About The Position

The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effectively to drive business outcomes. For this role, the gross annual base salary range is $80420 to $106050 for a full-time position. This range covers base pay only; we will discuss any bonuses, incentives, and benefits during the hiring process. Your exact offer will depend on objective, job-related factors – like your experience, skills, and qualifications – in line with our fair pay principles. If a collective labour agreement applies to this role, we will share the relevant pay scale details with you. Note: We never ask about your current or past salary during our recruitment process.

Requirements

  • Strong experience with Microsoft Power BI Desktop and Power BI Service.
  • Proficiency in DAX (Data Analysis Expressions).
  • Strong knowledge of Power Query (M Language).
  • Experience with SQL and relational databases.
  • Expertise in data modeling and dimensional modeling concepts.
  • Understanding of ETL/ELT processes.
  • Knowledge of data warehousing concepts.
  • Familiarity with REST APIs and cloud data sources.

Nice To Haves

  • Experience with Azure Data Factory, Azure Synapse, Databricks, or Fabric is preferred.
  • Experience with Power BI Premium and deployment pipelines is a plus

Responsibilities

  • Design, develop, and deploy interactive Power BI reports, dashboards, and scorecards.
  • Gather business requirements and translate them into effective BI solutions.
  • Develop and optimize data models using star and snowflake schemas.
  • Create complex DAX calculations, measures, KPIs, and business metrics.
  • Develop and maintain Power Query (M Language) transformations.
  • Connect Power BI to multiple data sources including SQL Server, Azure, Oracle, SAP, Excel, APIs, and cloud platforms.
  • Optimize report performance and troubleshoot data-related issues.
  • Build and manage data refresh schedules, gateways, and security models.
  • Implement Row-Level Security (RLS) and ensure data governance compliance.
  • Collaborate with business users, data engineers, analysts, and project teams.
  • Maintain documentation, data dictionaries, and technical specifications.
  • Support production deployments and provide ongoing enhancements.

Benefits

  • Flexible work
  • Healthcare including dental, vision, mental health, and well-being programs
  • Financial well-being programs such as 401(k) and Employee Share Ownership Plan
  • Paid time off and paid holidays
  • Paid parental leave
  • Family building benefits like adoption assistance, surrogacy, and cryopreservation
  • Social well-being benefits like subsidized back-up child/elder care and tutoring
  • Mentoring, coaching and learning programs
  • Employee Resource Groups
  • Disaster Relief
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