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Fabric and Power Bi Solution Professional
Location:
US-PA-Philadelphia
Jobcode:
UO713853
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Fabric and Power Bi Solution Professional

Onsite Philadelphia  PA

Experience 13 to 20 yrs

 

Mandatory Primary skills writeup with exact no. of experience years

Skills should reflect on resume too under all relevant projects

 

We are looking for an experienced Fabric &  Power BI  professional with 12+ years of experience in end-to-end BI solution delivery, strong customer engagement skills, and hands-on expertise in Power BI, Microsoft Fabric, and Azure data services. The candidate must have handled at least 5 Power BI and 1 Fabric projects and led the design and migration of semantic data models and reports.

 

 

 

 

Educational Qualification*

B.Tech, MCA, M.Tech

Experience Range

10-13 years

Primary (Must have skills)* - To be Screened by TA Team

1 year of experience working with Microsoft Fabric(Power BI) on atleast 1 customer Project
6+ years of experience in Power BI with experience in working on atleast 7+ Projects
5+ years of experience working on designing report solutions
6+ years of experience working with Business and IT stakeholders to gather requirements, translate business needs into technical specifications, and
deliver BI solutions.
2+ Yrs experience working with ETl/ELT solutions using Databricks or ADF/Synapse or any other industry standard ETL/ELT tools

Job Description of Role

Key technical skills :
Customer & Architecture:

Proven experience collaborating with Business & IT teams on requirement gathering and solution design. Ability to translate business requirements into technical solutions
Experience
preparing  architecture blueprints.
Independently
created HLDs and LLDs for BI solutions including data models and reports.

Microsoft Fabric:
Hands-on experience building reporting solutions using Power BI on Microsoft Fabric
Good to have experience working with
Fabric Copilots
Worked
with DirectLake, OneLake, and Lakehouses to design and manage scalable data architectures.
Built and orchestrated end-to-end data pipelines using Fabric Dataflows Gen2, Notebooks

Power BI:
Strong expertise in Power BI Pro, Premium, and Paginated reports.
Advanced use of DAX, Power Query, and M language
Experience with
Dataflows, Incremental Refresh, RLS, and Data Modeling.
Led multiple report migrations from legacy BI platforms to Power BI.

Data Engineering/Modelling
1. Hands-on experience working with ETL/ELT solutions using ADF or Synapse or SSIS or any other industry standard ETL/ELT Tools
2. Hands-on experience in desiging Gold layer and data models for consumption by reports and downstream applications

Well-architected Framework
Best design/coding practices
Experience in working in a challenging environment with unclear requirements and contributing collaboratively with the team to refine the requirements
Ability to offer innovative ideas/solutioning, that are modern and effective.

Soft skills/other skills - To be Evaluated by Hiring Manager (To define how this will be evaluated)

Communication Skills:
Communicate effectively with internal and customer stakeholders
Communication approach: verbal, emails and instant messages
Interpersonal Skills:
Strong interpersonal skills to build and maintain productive relationships with team members
Provide constructive feedback during code reviews and be open to receiving feedback on your own code.
Problem-Solving and Analytical Thinking:
Capability to troubleshoot and resolve issues efficiently.
Analytical mindset
Task/ Work Updates
Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps
Provides regular updates, proactive and due diligent to carry out responsibilities

Expected Outcome

We are looking for an experienced Fabric &  Power BI  professional with 12+ years of experience in end-to-end BI solution delivery, strong customer engagement skills, and hands-on expertise in Power BI, Microsoft Fabric, and Azure data services. The candidate must have handled at least 5 Power BI and 1 Fabric projects and led the design and migration of semantic data models and report

GretisGlobal

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