Cloud Engineer III at Pearson

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

21 May, 26

Salary

0.0

Posted On

20 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Power Bi, Microsoft Fabric, Python, Power Automate, Power Apps, Dataverse, DAX, SQL, Data Modeling, Lakehouse, Warehouse, Dataflows Gen2, OneLake, Dimensional Modeling, Star Schema, CI/CD

Industry

education

Description

Job Title: Cloud Engineer III Role Overview We are seeking an Analytics Engineer to design, build, and operate our analytics and automations. This role is responsible for delivering high-quality Power BI reporting, establishing and maintaining Microsoft Fabric, and building business automations and applications using Python, Power Automate and Power Apps. You will be part of the Cloud & Service Management organization helping to evolve our self-service analytics, scalable data architecture, and automations—while ensuring security, performance, and governance across the platform. This is a hands-on role with ownership of both solution delivery and platform best practices. Key Responsibilities Analytics & Reporting Design, develop, and maintain reports and dashboards Build and optimize semantic models using strong dimensional modeling (star schema) Write and tune DAX measures with a focus on performance and usability Implement Power BI deployment pipelines and promote content across environments Microsoft Fabric Platform Establish and maintain Microsoft Fabric architecture, including: Lakehouse and/or Warehouse Dataflows Gen2 OneLake data organization Manage Fabric capacities, workspaces, and permissions Monitor performance, cost, and reliability of Fabric workloads Develop and maintain Python-based data transformations and notebooks within Fabric Use Python for data preparation, enrichment, validation, and advanced analytics Define and enforce data modeling and medallion architecture standards Automation & Applications Build and maintain automation flows for business processes, approvals, and integrations Develop Apps to support business workflows Work with Dataverse, connectors, and security roles Implement error handling, logging, and operational support patterns Platform Governance & Operations Define Dev/Test/Prod environment strategy for reporting and automation platform Implement Application Life best practices (solutions, pipelines, source control where applicable) Establish governance standards to prevent platform sprawl Partner with security and IT teams on access control and compliance Provide guidance and enablement to analysts and citizen developers Collaboration & Leadership Translate business requirements into scalable technical solutions Act as a subject matter expert for Fabric and Power Platform Mentor junior team members and promote best practices Contribute to platform roadmap and continuous improvement efforts Required Qualifications 5+ years of experience in analytics, BI, or data engineering roles 3+ years of hands-on Power BI development experience Strong experience with Microsoft Fabric (Lakehouse, Warehouse, Dataflows) Proficient in DAX, SQL, and data modeling Hands-on experience with: Power Automate (cloud flows, approvals, integrations) Power Apps (Canvas apps) Dataverse Python Experience managing environments, security, and deployments Strong understanding of data governance and analytics best practices Candidates must be willing to work UK or US hours Preferred Qualifications Experience designing enterprise-scale analytics platforms Familiarity with Azure services (Azure SQL, Data Factory, Synapse) Experience with CI/CD concepts for Power Platform and Power BI Power Platform or Microsoft analytics certifications Experience working in a Center of Excellence (CoE) model

Responsibilities

This role involves designing, building, and operating analytics and automations, focusing on delivering high-quality Power BI reporting, establishing Microsoft Fabric, and building business applications using Python and the Power Platform. Key duties include developing reports, optimizing semantic models, managing Fabric architecture, and building automation flows for business processes.