Microsoft Azure Fabric - Tech Lead US

Posted Yesterday
Be an Early Applicant
Hiring Remotely in United States
Remote
80K-150K Annually
Senior level
Analytics • Business Intelligence • Consulting
The Role
The role involves designing, developing, and maintaining data engineering solutions using Azure and Microsoft Fabric, collaborating with stakeholders to implement end-to-end data analytics solutions.
Summary Generated by Built In
Description

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:                                 www.exusia.com

 

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.


What’s the Role?

Full-time job to work with Exusia's clients to design, develop and maintain large scale data engineering solutions. The right candidates 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 PowerBI 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

Top Skills

Azure
Azure Analysis Services
Azure Purview
Data Factory
Databricks
Microsoft Fabric
Power Apps
Power BI
SQL
Synapse Analytics
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The Company
Miami, , Florida
404 Employees
Year Founded: 2012

What We Do

Exusia (ex-OO-see-ah), A Globant Division has the mission of transforming the world through the innovative use of information. Exusia is an ISO 27001 certified technology solutions company that empowers its clients to gain a competitive edge by accelerating business objectives and providing solutions in artificial intelligence, cloud computing, data engineering and digital transformation. Exusia is a leader in end-to-end data strategy, execution and managed services offerings, leveraging its team of business strategy, analytics and data engineering experts along with cutting edge hosted software as a service accelerators to deliver to clients. Exusia was founded in 2012 and now provides services in IT Strategy, AI Enablement, Data Governance, Data Engineering, Cloud Migration and Mainframe Modernization to the Globant client base as apart of the Data & Artificial Intelligence Studio. Globant has over 30,000 employees providing services to clients in 34 countries across world. Exusia grew rapidly by solving some of the world's largest and most complex data engineering problems across all highly regulated industries. Prior to joining Globant, Exusia was ranked globally as one of the fastest growing solution providers in the cloud and data engineering landscape by publications like Crain's, CIO Review and Inc. Magazines

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