Tech Leads - Azure / Microsoft Fabric

Exusia, Inc.
United States
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Microsoft Azure Big Data Databases Data Architecture Information Engineering Data Governance Extract Transform Load (ETL) Data Migration Data Systems Data Warehousing Digital Assets Information Sciences
+19 more
Metadata SQL Azure Power BI Data Streaming Unstructured Data Data Processing Data Ingestion Azure Data Factory Apache Spark Microsoft Fabric Data Lakes Pyspark Data Lineage Collibra Data Analytics Data Management Data Pipelines Powerapps Databricks

Job description

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., 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

Requirements

Basic Qualification: Bachelor of Engineering or Equivalent, 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, * 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

About the company

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.

Apply for this position

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