Azure Data Engineer

Analytics & Data Engineering

• Design, build, and maintain enterprise-scale analytics solutions using Microsoft Fabric, leveraging OneLake, Lakehouse, and Medallion (Bronze, Silver, Gold) architecture patterns.
• Develop and optimize scalable data ingestion frameworks using Fabric Pipelines, Dataflow Gen2, Notebooks, Mirroring, Event Streams, and Shortcuts.
• Implement data integration solutions across multiple platforms including ADLS Gen2, Azure services, Dataverse, SaaS platforms, ServiceNow, Microsoft 365, and external cloud storage sources.
• Design and manage Lakehouse environments, ensuring data quality, consistency, governance, lifecycle management, and performance optimization.
• Build and maintain semantic models, Direct Lake datasets, and Power BI solutions to support executive, operational, and strategic reporting needs.
• Design and implement enterprise KPIs, operational metrics, trend analysis, root cause analysis (RCA), and business intelligence solutions.
• Enable advanced analytics and AI-driven use cases including AI Search, vector-based retrieval, cross-source correlation, predictive insights, and GenAI-powered recommendations.
• Implement and enforce data governance, security, lineage, auditing, and compliance controls across the analytics environment.

Cloud Automation & Workflow Engineering

• Design, develop, and maintain cloud-native automation solutions using Azure Logic Apps, Power Automate, Power Apps, and API-driven integration services.
• Build scalable workflow orchestration capabilities to automate operational processes, approvals, notifications, service requests, and security operations activities.
• Develop event-driven automation capabilities leveraging Fabric Event Streams, Logic Apps, APIs, webhooks, and cloud-native integration services.
• Design automated operational workflows that improve service onboarding, lifecycle management, compliance monitoring, and platform health management.
• Enable self-service and low-code automation capabilities through Power Platform technologies.

Enterprise Integration Engineering

• Design and implement integrations across Microsoft 365, ServiceNow, Azure services, security platforms, CMDB solutions, inventory systems, and third-party SaaS applications.
• Develop reusable integration frameworks, APIs, connectors, and data exchange services to support enterprise operational and analytics requirements.
• Enable secure, scalable, and resilient movement of operational, telemetry, and business data across multiple enterprise platforms.
• Partner with platform owners and stakeholders to streamline data exchange, workflow automation, and service interoperability.

Operational Intelligence & Service Automation

• Build ingestion and analytics solutions for operational telemetry, log analytics, platform health, incidents, requests, and service management data.
• Develop operational intelligence solutions that correlate data across multiple technology platforms to provide actionable business and operational insights.
• Integrate analytics and automation platforms with ServiceNow to support incident management, request fulfillment, change management, workflow approvals, and operational processes.
• Design and implement automated ticket creation, escalation workflows, notifications, exception management, and remediation processes.

Closed-Loop Intelligence & Continuous Improvement

• Design and implement closed-loop operational intelligence capabilities that transform insights, anomalies, recommendations, and RCA findings into automated actions and operational workflows.
• Build feedback mechanisms that capture outcomes, approvals, resolutions, and remediation activities to improve future recommendations and operational effectiveness.
• Partner with business and technology stakeholders to identify automation opportunities and continuously improve operational processes.
• Drive innovation through AI, analytics, automation, and process optimization initiatives across STS services.

Platform Engineering & Operational Excellence

• Establish CI/CD practices, deployment standards, testing frameworks, monitoring, logging, and operational support processes.
• Implement governance, resiliency, performance optimization, and operational readiness standards across analytics, integration, and automation platforms.
• Contribute to platform architecture, engineering standards, and best pr