Microsoft Azure Fabric - Senior Data Engineer IN

Sr Data Engineers & Tech Leads – Azure / Microsoft Fabric

Department:                          Sales and Delivery Team - Empower

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