Re Sources India Gurgaon IT

Company Description

Re:Sources is the backbone of Publicis Groupe, the worlds third-largest communications group. Formed in 1998 as a small team to service a few Publicis Groupe firms, Re:Sources has grown to 5,000+ people servicing a global network of prestigious advertising, public relations, media, healthcare and digital marketing agencies. We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury and risk management to help Publicis Groupe agencies do what they do best: create and innovate for their clients.

In addition to providing essential, everyday services to our agencies, Re:Sources develops and implements platforms, applications and tools to enhance productivity, encourage collaboration and enable professional and personal development. We continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. With our support, Publicis Groupe agencies continue to create and deliver award-winning campaigns for their clients.

Overview

Publicis ReSources India

Knowledge, Skills & Abilities Requirements

• Deep knowledge of Power BI and data visualization best practices.
• Design, develop, test, and deploy Power BI Reports and work with client to
  
  

• Create custom visualization and implement row level security on data.
• Build data models and develop dashboards using Power BI desktop.
• Develop tabular and multidimensional models that are compatible with
  
  

• Work with application developers to design and develop Power BI data
  
  

• Use advance level calculations on the data set using DAX functions in Power BI.
• Test formulas and visualizations to ensure their functionality.
• Preferred domain Financial and Workforce data.
• Design, build, and optimize solutions using Azure Synapse Analytics and Azure
  
  

• Develop and manage data pipelines using Azure Data Factory or Synapse
  
  

• Integrate structured and unstructured data from various sources into Azure
  
  

• Build and maintain data warehouses, data lakes, and analytics solutions using
  
  

• Experience with Azure Data Lake, Azure Blob Storage, and integrating various
  
  

• Strong proficiency in SQL, data modeling, and ETL/ELT process