Sr Data Engineers & Tech Leads – Azure / Microsoft Fabric Department: Global Delivery Team Industry: Information Technology & Services, Computer Software, Management Consulting Location: WFH / India Remote Experience Range : 5 - 10 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 5 years’ experience in Data management, Data engineering & Data governance space · At least 3 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 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