{"id":1457486,"url":"https://alion.io/job/ernst-young-azure-data-engineer","title":"Azure Data Engineer","company":{"id":2859,"name":"Ernst & Young","domain":"ey.com","url":"https://alion.io/company/ey-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":43000,"period":"year","method":"role_seniority_country_cell","sample_n":61},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Incident Management","optional":false},{"name":"ITSM","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Power Apps","optional":false},{"name":"Power Automate","optional":false},{"name":"Power BI","optional":false},{"name":"ServiceNow","optional":false},{"name":"Azure Data Factory","optional":true},{"name":"Azure DevOps","optional":true},{"name":"Bicep","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"Git","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"Rest API","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-29T10:47:31Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-08T00:39:00Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.\nSTS Cross-Function Cloud Automation Engineer\nEY Technology:\nTechnology has always been at the heart of what we do and deliver at EY. We need technology to keep an organization the size of ours working efficiently. We have 450,000 people in more than 160 countries, all of whom rely on secure technology to be able to do their job every single day. Everything from the laptops we use, to the ability to work remotely on our mobile devices and connecting our people and our clients, to enabling hundreds of internal tools and external solutions delivered to our clients. Technology solutions are integrated in the client services we deliver and is key to us being more innovative as an organization.\nEY Technology supports our technology needs through three business units:\nClient Technology (CT) - focuses on developing new technology services for our clients. It enables EY to identify new technology-based opportunities faster, and pursue those opportunities more rapidly.\nEnterprise Technology (ET) - ET supports our Core Business Services functions and will deliver fit-for-purpose technology infrastructure at the cheapest possible cost for quality services. ET will also support our internal technology needs by focusing on a better user experience.\nInformation Security (Info Sec) - Info Sec prevents, detects, responds and mitigates cyber-risk, protecting EY and client data, and our information management systems.\nThe Opportunity\nThe STS Cross-Function Cloud Automation Engineer partners with Security Technology Services (STS) and Information Security stakeholders to design, build, and optimize cloud-native analytics, integration, and automation solutions that improve operational efficiency, visibility, and service delivery. The role combines expertise in Microsoft Fabric, data engineering, cloud integration, workflow automation, and operational intelligence to enable scalable, resilient, and secure security technology services.\nThis engineer is responsible for developing enterprise analytics platforms using Microsoft Fabric and OneLake, building cloud-native integrations across Microsoft 365, ServiceNow, Azure, and security platforms, and creating automated workflows that transform operational insights into actionable outcomes. The role enables closed-loop operational intelligence by combining analytics, automation, AI-driven insights, and service management processes to drive continuous improvement, operational excellence, and business value realization across the Information Security organization.\nYour Key Responsibilities\nAnalytics & Data Engineering\nDesign, build, and maintain enterprise-scale analytics solutions using Microsoft Fabric, leveraging OneLake, Lakehouse, and Medallion (Bronze, Silver, Gold) architecture patterns.\nDevelop and optimize scalable data ingestion frameworks using Fabric Pipelines, Dataflow Gen2, Notebooks, Mirroring, Event Streams, and Shortcuts.\nImplement data integration solutions across multiple platforms including ADLS Gen2, Azure services, Dataverse, SaaS platforms, ServiceNow, Microsoft 365, and external cloud storage sources.\nDesign and manage Lakehouse environments, ensuring data quality, consistency, governance, lifecycle management, and performance optimization.\nBuild and maintain semantic models, Direct Lake datasets, and Power BI solutions to support executive, operational, and strategic reporting needs.\nDesign and implement enterprise KPIs, operational metrics, trend analysis, root cause analysis (RCA), and business intelligence solutions.\nEnable advanced analytics and AI-driven use cases including AI Search, vector-based retrieval, cross-source correlation, predictive insights, and GenAI-powered recommendations.\nImplement and enforce data governance, security, lineage, auditing, and compliance controls across the analytics environment.\nCloud Automation & Workflow Engineering\nDesign, develop, and maintain cloud-native automation solutions using Azure Logic Apps, Power Automate, Power Apps, and API-driven integration services.\nBuild scalable workflow orchestration capabilities to automate operational processes, approvals, notifications, service requests, and security operations activities.\nDevelop event-driven automation capabilities leveraging Fabric Event Streams, Logic Apps, APIs, webhooks, and cloud-native integration services.\nDesign automated operational workflows that improve service onboarding, lifecycle management, compliance monitoring, and platform health management.\nEnable self-service and low-code automation capabilities through Power Platform technologies.\nEnterprise Integration Engineering\nDesign and implement integrations across Microsoft 365, ServiceNow, Azure services, security platforms, CMDB solutions, inventory systems, and third-party SaaS applications.\nDevelop reusable integration frameworks, APIs, connectors, and data exchange services to support enterprise operational and analytics requirements.\nEnable secure, scalable, and resilient movement of operational, telemetry, and business data across multiple enterprise platforms.\nPartner with platform owners and stakeholders to streamline data exchange, workflow automation, and service interoperability.\nOperational Intelligence & Service Automation\nBuild ingestion and analytics solutions for operational telemetry, log analytics, platform health, incidents, requests, and service management data.\nDevelop operational intelligence solutions that correlate data across multiple technology platforms to provide actionable business and operational insights.\nIntegrate analytics and automation platforms with ServiceNow to support incident management, request fulfillment, change management, workflow approvals, and operational processes.\nDesign and implement automated ticket creation, escalation workflows, notifications, exception management, and remediation processes.\nClosed-Loop Intelligence & Continuous Improvement\nDesign and implement closed-loop operational intelligence capabilities that transform insights, anomalies, recommendations, and RCA findings into automated actions and operational workflows.\nBuild feedback mechanisms that capture outcomes, approvals, resolutions, and remediation activities to improve future recommendations and operational effectiveness.\nPartner with business and technology stakeholders to identify automation opportunities and continuously improve operational processes.\nDrive innovation through AI, analytics, automation, and process optimization initiatives across STS services.\nPlatform Engineering & Operational Excellence\nEstablish CI/CD practices, deployment standards, testing frameworks, monitoring, logging, and operational support processes.\nImplement governance, resiliency, performance optimization, and operational readiness standards across analytics, integration, and automation platforms.\nContribute to platform architecture, engineering standards, and best practices across cloud engineering, automation, analytics, and integration domains.\nSkills and Attributes for Success\nStrong understanding of modern cloud data platform architecture, automation engineering, and enterprise integration patterns.\nAbility to design end-to-end solutions spanning data ingestion, analytics, automation, orchestration, and operational workflows.\nExperience implementing Lakehouse and Medallion architecture patterns in enterprise environments.\nStrong understanding of workflow automation, low-code platforms, API integrations, and event-driven architectures.\nExperience designing enterprise integration solutions across cloud services, ITSM platforms, security technologies, and business applications.\nStrong analytical and problem-solving skills with the ability to derive actionable insights from large and complex datasets.\nExcellent stakeholder management and communication skills with the ability to explain technical concepts to both technical and non-technical audiences.\nAbility to work independently while collaborating effectively across multiple business and technology teams.\nExperience balancing scalability, governance, security, resiliency, and performance requirements across enterprise platforms.\nPassion for emerging technologies including AI, GenAI, intelligent automation, and advanced analytics.\nTo Qualify for the Role You Must Have\nBachelor's or Master's degree in Computer Science, Information Technology, Data Analytics, Engineering, or a related field.\n5+ years of experience in Data Engineering, Cloud Engineering, Automation Engineering, Analytics, Platform Engineering, or related technical disciplines.\nKnowledge of security concepts, practices, and technologies, or prior experience supporting a Security or Information Security organization is highly desirable.\nMicrosoft Fabric Experience\nHands-on experience with:\nFabric Data Factory\nOneLake\nLakehouse\nDataflow Gen2\nNotebooks\nSemantic Models\nDirect Lake\nFabric Pipelines\nEvent Streams\nTechnical Skills\nStrong proficiency in SQL and Python/PySpark.\nExperience designing and implementing Bronze, Silver, and Gold data architectures.\nStrong understanding of data modelling, dimensional modelling, semantic modelling, and Power BI best practices.\nExperience working with Data Lakes and large-scale enterprise datasets.\nUnderstanding of data governance, lineage, auditing, security controls, and compliance requirements.\nExperience building executive dashboards, KPI frameworks, and operational reporting solutions.\nAutomation & Integration Experience\nHands-on experience with Azure Logic Apps, Power Automate, and Power Platform solutions.\nExperience developing enterprise integrations using REST APIs, JSON, webhooks, and API-driven architectures.\nExperience integrating cloud services, SaaS applications, Microsoft 365, ServiceNow, and enterprise platforms.\nExperience working with event-driven architectures and automation frameworks.\nOperational Platforms\nExperience with one or more of:\nAzure Data Explorer (ADX)\nAzure Data Factory (ADF)\nAzure Functions\nAzure Event Hub\nAzure Service Bus\nServiceNow Platform\nDevOps & Engineering Practices\nExperience with Azure DevOps, Git, CI/CD pipelines, and automated deployment processes.\nExperience with Infrastructure as Code technologies such as Terraform, Bicep, or ARM templates.\nUnderstanding of platform monitoring, observability, resiliency, and operational support best practices.\nCertifications (Preferred)\nMicrosoft Fabric Analytics Engineer Associate\nMicrosoft Power Platform Certifications\nAzure Data Engineer Associate\nAzure Solutions Architect Expert\nRelevant analytics, integration, or automation certifications\nWhat We Look For\nWe are seeking a highly motivated and innovative cloud engineer who is passionate about building modern analytics, automation, and integration platforms that enable data-driven decision making and operational excellence. The ideal candidate combines deep technical expertise in Microsoft Fabric, cloud automation, and enterprise integration with strong business acumen and a collaborative mindset.\nThe successful candidate will demonstrate:\nProven experience delivering enterprise-scale analytics, integration, and automation solutions.\nStrong expertise in modern cloud-native architecture, workflow automation, and operational intelligence.\nCuriosity and enthusiasm for adopting AI, analytics, GenAI, and intelligent automation capabilities.\nThe ability to lead technical discussions and influence architectural decisions.\nA commitment to quality, governance, security, resiliency, and operational excellence.\nStrong interpersonal skills and the ability to collaborate effectively across business and technology teams.\nA continuous improvement...","description_format":"text","description_chars":13238,"description_truncated":true,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Audit & Assurance Firms","Financial Advisory, Valuation & Restructuring","Management Consulting","Tax Advisory & Preparation"],"lifecycle":[{"event":"open","at":"2026-09-29T10:47:31Z"}],"visa":[],"liveness":{"score":81,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":0.9,"age_days":7,"expected_fill_days":20,"reasons":["conf:2","velocity","win:mid","comp:brand"],"computed_at":"2026-10-07T05:47:15Z"},"pay":null,"html_url":"https://alion.io/job/ernst-young-azure-data-engineer","json_url":"https://alion.io/job/ernst-young-azure-data-engineer.json","meta":{"generated_at":"2026-10-08T00:53:33Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1440,"day_limit":5000,"remaining_today":3560,"minute_limit":60,"resets_at":"2026-10-09T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2859},"rest":"https://alion.io/mcp/rest/get_company?id=2859"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fernst-young-azure-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fernst-young-azure-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fernst-young-azure-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ernst-young-azure-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fernst-young-azure-data-engineer"}]}