Job description

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

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