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EY
EY
H1B Visa SponsorHealthcareLegalMarketing

EY is a global professional services firm offering audit, tax, consulting, and advisory expertise. Its teams help organizations address complex business challenges, strengthen trust in financial reporting and markets, and use data and technology to support transformation.

The firm provides services including corporate finance advisory, transaction strategy, and technology consulting. EY works with clients across areas such as healthcare, legal services, marketing, energy, finance, and government, with sustainability and innovation informing many of its solutions.

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Azure Data Engineer in Bengaluru, India (Onsite)

Build Microsoft Fabric, Azure, and ServiceNow analytics and automation platforms for EY’s security technology services. Deliver operational intelligence, enterprise integrations, and AI-enabled workflows.

INIndiaOn-siteFull-timeMiddleSeniorEnglish RequiredData Engineer
AzureCloudPySparkPythonServiceNowSQLTerraform

Description

  • Create and maintain enterprise analytics platforms with Microsoft Fabric, OneLake, Lakehouse, and Medallion architecture.
  • Develop scalable ingestion frameworks with Fabric Pipelines, Dataflow Gen2, Notebooks, Mirroring, Event Streams, and Shortcuts.
  • Integrate ADLS Gen2, Azure, Dataverse, SaaS platforms, ServiceNow, Microsoft 365, and external cloud storage.
  • Administer Lakehouse data quality, governance, lifecycle controls, and performance optimization.
  • Develop semantic models, Direct Lake datasets, and Power BI reporting for executive, operational, and strategic use cases.
  • Define KPIs, operational metrics, trend and root-cause analysis, and business intelligence solutions.
  • Support AI Search, vector retrieval, cross-source correlation, predictive analytics, and generative AI recommendations.
  • Apply governance, security, lineage, auditing, and compliance controls across data platforms.
  • Build cloud-native automation with Azure Logic Apps, Power Automate, Power Apps, and API-based integration services.
  • Orchestrate operational workflows for approvals, notifications, service requests, and security operations.
  • Create event-driven automation using Fabric Event Streams, Logic Apps, APIs, webhooks, and cloud integration services.
  • Connect Microsoft 365, ServiceNow, Azure, security platforms, CMDB systems, inventory tools, and third-party SaaS applications.
  • Create reusable integration frameworks, APIs, connectors, and data exchange services.
  • Develop ingestion and analytics for telemetry, logs, platform health, incidents, requests, and service management.
  • Connect analytics and automation to ServiceNow for incident, request, change, approval, and operational processes.
  • Automate ticket creation, escalation, notifications, exception handling, and remediation.
  • Set CI/CD, deployment, testing, monitoring, logging, and operational support standards.
  • Support platform architecture, engineering standards, governance, resiliency, performance, and operational readiness.
  • Collaborate with STS, Information Security, platform owners, business stakeholders, and technology teams to identify automation opportunities and improve continuously.

Requirements

  • Bachelor’s or master’s degree in computer science, information technology, data analytics, engineering, or a related discipline.
  • At least five years of experience in data engineering, cloud engineering, automation, analytics, platform engineering, or a related technical field.
  • Security concepts, practices, and technologies knowledge is desirable, particularly experience supporting Security or Information Security teams.
  • Practical experience with Fabric Data Factory, OneLake, Lakehouse, Dataflow Gen2, Notebooks, Semantic Models, Direct Lake, Fabric Pipelines, and Event Streams.
  • Strong SQL and Python/PySpark skills.
  • Experience designing Bronze, Silver, and Gold data architecture layers.
  • Strong knowledge of data, dimensional, and semantic modeling, along with Power BI best practices.
  • Experience working with data lakes and large enterprise datasets.
  • Understanding of data governance, lineage, auditing, security controls, and compliance obligations.
  • Experience developing executive dashboards, KPI frameworks, and operational reporting.
  • Hands-on experience with Azure Logic Apps, Power Automate, and Power Platform solutions.
  • Experience building enterprise integrations with REST APIs, JSON, webhooks, and API-driven architectures.
  • Experience connecting cloud services, SaaS applications, Microsoft 365, ServiceNow, and enterprise platforms.
  • Experience with event-driven architectures and automation frameworks.
  • Experience with one or more of Azure Data Explorer, Azure Data Factory, Azure Functions, Azure Event Hub, Azure Service Bus, or ServiceNow Platform.
  • Experience using Azure DevOps, Git, CI/CD pipelines, and automated deployment workflows.
  • Experience with infrastructure as code, including Terraform, Bicep, or ARM templates.
  • Understanding of platform monitoring, observability, resiliency, and operational support practices.
  • Relevant Microsoft Fabric, Power Platform, Azure Data Engineering, Azure Solutions Architecture, analytics, integration, or automation certifications are preferred.

Benefits

  • Competitive compensation with recognition for individual and team performance.
  • FlexEY benefits covering holidays, health and well-being, insurance, savings, discounts, offers, and promotions.
  • Support for flexible working arrangements.
  • Resources for career development.
  • Guidance, coaching, and feedback from supportive colleagues.
  • Opportunities to build new skills and advance professionally.
  • Autonomy and flexibility to manage the role in a way that suits you.

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