Senior Fabric Data Engineer Position Available In Broward, Florida

Senior Fabric Data Engineer

Role:

Senior Fabric Data Engineer

Location:

Miami FL, Dallas TX

Term:

Contract to Hire

Technology:

Azure Data Factory 1) Must have designed and implemented multiple complex pipelines with Dynamic Content within activities (maste pipelines with sub pipelines, batching, parameters, variables etc.) 2) Have experience with Microsoft Entra and Azure Key Vault secrets for accessing resources. 3) Have written pipelines that access REST APIs
Azure

SQL DB 1

) Have Senior/Expert knowledge of writing, testing, and enhancing complex Stored Procedures and Functions with experience in Performance Tuning 2) Have experience of generating and executing Dynamic SQL based on data in tables, or JSON. 3) Be familiar with converting JSON to tables, and tables to JSON 4) Have experience with database mirroring (ideally to Microsoft Fabric)
Azure Service Bus / Azure Event Hub 1) Have hands on experience working with Queueing technologies, ideally with writing Azure Function Apps to queue and dequeuer messages
Azure Function Apps 1) Have experience of full lifecycle development, testing, and deployment of Azure Function Apps (ideally C#).

Needs:

1) Excellent problem solving and fast learning skills 2) Senior level experience with

ETL/ELT 3

) Experience in working with all components within Microsoft Fabric

Nice To Have:

Knowledge of Financial Systems (Ideally Mortgage) Be able to work on existing Spark Notebooks and enhance solutions in Spark Notebooks if need be Power

BI ADLS C

# Scripting Tools (ideally PowerShell) Azure DevOps Agile Experience, Ideally Jira

Requirements:

FABRIC is a MUST.
Data Analytics
Reporting
Implementing the Lakehouse Architecture
Managing Data Flows within Fabric’s Ecosystem
API Connection
Authentication Methods
Data Loads or Data Transformation within Fabric.
Direct Lake, Dataflow, etc.
Data Synchronization or Schema Changes

Requirements:

FABRIC is a MUST. Data Analytics Reporting Implementing the Lakehouse Architecture Managing Data Flows within Fabric’s Ecosystem API Connection Authentication Methods Data Loads or Data Transformation within Fabric. Direct Lake, Dataflow, etc. Data Synchronization or Schema Changes
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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Dice Id:

91117213

Position Id:

8650675