Microsoft Azure Fabric - Tech Lead

Position: Microsoft Azure Fabric - Tech Lead US
## Microsoft Azure Fabric - Tech Lead USUnited States
· Full-time
· Intermediate#### About The Position
** Tech Leads – Azure / Microsoft Fabric
**** Department:
** Sales and Delivery Team - Empower
** Industry:
** Information Technology & Services, Computer Software, Management Consulting
*
* Location:

** WFH/ United States Remote
** Experience Range**:
8 - 15 years
** Basic

Qualification:

** Bachelor of Engineering or Equivalent
** Travel Requirements:
** Not required
** Website**:
** Exusia, a cutting-edge digital transformation consultancy, and is looking for top talent in Data Engineering space with specific skills in Azure / Microsoft Fabric to join our global delivery team's Data Engineering practice in India.
** Full-time job to work with Exusia's clients to design, develop and maintain large scale data engineering solutions.

The right candidate s will also get a chance to work across the entire data landscape apart from data engineering including Data Governance & Reporting & Visualization. The role will provide an opportunity to work closely with client stakeholders to capture the requirements, design and implement end to end data analytics solutions.
** Criteria for the Role!****
* · Have a minimum of 8 years’ experience in Data management, Data engineering & Data governance space*****
* · At least 5 years in a hands-on role using Azure services relevant to data engineering & Analytics and worked on at least 1 project on Microsoft Fabric*****
* · Should have worked on large data initiatives and should have exposure to cloud hosted DWH & Data lakes*****
* · Education Qualification – Bachelor of Science (preferably in Computer and Information Sciences or Business Information Technology) or an Engineering degree in the above areas***#### Requirements
*
* Key Responsibilities:

** Work with business stakeholders to gather and analyze business requirements, building a solid understanding of the Data Analytics and Data Governance domain

Document, discuss and resolve business, data and reporting issues within the team, across functional teams, and with business stakeholders
* Should be able to work independently and come up with solution design
* Build optimized data processing solutions using the given toolset
* Provide hands on technical leadership and work on multiple projects if required
* Design pipelines to ingest & integrate structured/semi structured and unstructured data from heterogeneous sources
* Collaborate with delivery leadership to deliver projects on time adhering to the quality standards
* Contribute to talent recruitment, competency building and providing mentor-ship to junior resources for these skills
** Mandatory

Skills:

*** Strong DWH and ETL conceptual knowledge
* Experience using various components of Microsoft Fabric for storage, Data ingestion and processing, Data governance & reporting
* Design data solutions and data models using Onelake to support DWH, Data Lake and Lakehouse architecture
* Data ingestion for batch & streaming data using Data Factory/ Fabric & Databricks
* Orchestration of data ingestion pipelines using Data Factory or other Azure services
* Hands on experience using Azure purview for governing data assets including Metadata, Data Catalog & Data lineage
* Hands on experience using Azure SQL Database, Azure Analysis Services and Synapse Analytics
* Specific exposure to Microsoft accelerators such as
* Microsoft Fabric Toolbox
* Metadata-Driven Ingestion & Processing
* Experience working with multiple source databases
* Data migration experience from legacy databases or other cloud ecosystems to Microsoft Fabric
* Experience is Spark / Pyspark with some hands on with Databricks is highly desired
** Nice-to-Have Skills*
* · Provisioning and managing Fabric environment
· Knowledge of any other relevant Azure data engineering services
· Building and managing Power

BI models on top of Fabric
· Exposure to building low code / No code data centric apps using Power Apps
· Integrate Power Platform components with Azure based services
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