Fabric Engineer - Data Engineer

Newark, NJ- Hybrid - Need onsite from Day 1 - Locals Highly preferred but will consider non local as well if they are willing to relocate on Day 1 and Have solid expereince with Fabric

Must have valid LinkedIn

Need DL and Visa Copy

Notes From Manager

Years of experience: 10

Experience setting up fabric with data roles. How to do shortcuts and daily integration.

Data Modeling for fabric and power BI.

Azure background is helpful.

Background with Microsoft Fabric is important.

Top Skills: Fabric, Setting up security roles and data sharing, Building data pipelines, establishing, and creating symantic models

Trying to build business solution, primary objective.

Has enough experience to come in a work hand and hand.

Combination of platform and development. Heavier on Development side.

Data warehousing, Data lake, cloud, with legacy systems. Been around this area for 10 years.

At least have 7-8 months of experience of Fabric.

Understanding security models and how the azure model is set up.

Job Description

Fabric Engineer - Job Description for Data Journey USBIE

Experience

• 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
• 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.
  
  

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