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Jobs or company...
R

Microsoft Fabric Engineer

Salary undisclosed

Apply on

Dice

Availability Status

This job is expected to be in high demand and may close soon. We’ll remove this job ad once it's closed.

Original
Simplified

Job Responsibilities:

  • Knowledge of data modeling and data warehousing concepts
  • Experience with cloud-based data migration
  • Database management experience (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse)
  • Leveraged and implemented Shortcuts across workspaces to aggregate the data between different sources
  • Implemented the different types of security for lakehouses and datawarehouses i.e. RLS/CLS/OLS
  • ETL tool experience (e.g., SSIS, Azure Data Factory, Power BI Dataflow)
  • Bitbucket / Jenkins / GIT Integration using Azure Repos for the Source Control.

Required Skills:

  • 10+ years of data engineering experience
  • 5+ years of experience in building data and analytics platform focused on Azure data and analytics solutions
  • 5+ years of programming experience in Python/Pyspark
  • Must have experience in Microsoft Fabric and implemented at the least 2 major initiatives.
  • Built multiple semantic models in Fabric leveraging Direct Lake query mode
  • Experience in Azure services such as
  • Azure SQL Database
  • Azure Data Factory
  • Azure Synapse Analytics
  • Azure Data Lake
  • Notebooks

Preferred Certifications:

  • MCSE
  • Azure Data Engineer Associate
  • Microsoft Fabric Analytics Architect / Engineer Associate

Additional information on background:

  • Leadership skill/ Soft skills: Collaborative, team player. Self-starter. Curious about technology.
  • Agile experience

Additional Information from the stakeholder call:

  • Top skills:
  • MS Fabric
  • Security roles
  • Building data pipelines
  • Semantic models
  • Data warehouse, lakes, AWS
  • Data bricks a plus
  • What will the individual be working on: business solution for self-service analytics
  • Expecting a very experienced individual (at least 2 projects) and the individual is expected to coach the Prudential team as they have very little experience
  • Hybrid work onsite in Newark and remote 2-3 days a week on-site
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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