Lead Data Engineer with MS Fabric, Onsite- Armonk, NY (Need Local)

 

Hi ,
Hope you are doing Good!!!

Please find the attached Job Description. If you feel comfortable then please send me your updated resume or call me back on 512-898-7112.

         

Position: : Lead Data Engineer with MS Fabric

Location: Onsite- Armonk, NY (Need Local)

Duration: 12+ months contract

 

Job Description

 

The ideal candidate should have a solid understanding of data modeling and data warehousing, with experience in cloud-based data migration and database management across various platforms. They should be skilled in aggregating data from multiple sources and implementing security measures for data environments. Familiarity with ETL tools and processes is essential, along with experience in using source control tools and integration systems to streamline development workflows.

 

Requirements:

* 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

* The ideal candidate should have a solid understanding of data modeling and data warehousing, with experience in cloud-based data migration and database management across various platforms

* Should be skilled in aggregating data from multiple sources and implementing security measures for data environments

* Familiarity with ETL tools and processes is essential, along with experience in using source control tools and integration systems to streamline development workflows

 

Experience in Azure services such as:

* Azure SQL Database

* Azure Data Factory

* Azure Synapse Analytics

* Azure Data Lake

* Notebooks

 

 

 

Thanks & Regards-

Tarun Gupta || Mob:- 512-898-7112

E-mail 📩 [email protected]

5900 Belcones drive Suit #100, Austin, TX , 78731

 

 
 
 

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