DE-Cloud Platform Engineer-Azure-GDSN02
Ernst and Young1 month ago
Bengaluru, IndiaStaff+
Responsibilities
- Architect, implement, and manage CI/CD pipelines for data and analytics workloads using Azure DevOps across Azure, AWS, GCP, and on-premises environments.
- Automate and manage Azure Data Lake, Databricks, Microsoft Fabric, data pipelines, clusters, notebooks, jobs, and analytics workloads.
- Develop infrastructure as code and configuration automation for Azure and multi-cloud environments using Terraform, ARM Templates, Bicep, and related tools.
- Integrate DevSecOps practices, automated testing, code quality checks, vulnerability scanning, security controls, data governance, and compliance practices.
- Create automation scripts and operational tooling with Python, PowerShell, Bash, Shell, and Groovy, using cloud-native CLI tools.
- Deploy and manage containerized workloads with Docker and Kubernetes, including AKS, EKS, and GKE.
- Monitor, troubleshoot, and optimize data pipelines, applications, cloud platforms, and reliability using monitoring and observability tools.
- Support cloud migration and modernization of legacy data platforms to Azure and Microsoft Fabric.
- Collaborate with data engineers, analysts, customers, stakeholders, and offshore teams to deliver end-to-end solutions.
- Lead by example, mentor team members, manage deliverables and project risks, and contribute to organization-wide people initiatives.
- Assist clients with technology evaluations, RFPs, proposals, and solutions that meet business and technical requirements.
- Travel as required by client and job requirements.
Requirements
- BE, B.Tech, or MCA degree.
- 6–8 years of sound industry experience in cloud computing and multi-cloud environments, with Azure as the primary platform.
- Strong hands-on experience with Azure DevOps, CI/CD automation, release management, and environment provisioning.
- Deep expertise with Azure Data Lake, Databricks including Spark and Delta Lake, and Microsoft Fabric including Lakehouse, Data Engineering, and Real-Time Analytics.
- Proficiency in PowerShell, Python, Groovy, Shell scripting, Bash, and cloud-native CLI tools.
- Experience with Terraform, ARM Templates, or Bicep for infrastructure automation.
- Practical experience with Docker and Kubernetes, including AKS, EKS, or GKE.
- Knowledge of cloud data governance, security, compliance, identity and access management, and network security.
- Experience with monitoring, observability, logging, troubleshooting, and SRE practices.
- Ability to design scalable, secure, cost-effective data architectures and DevOps solutions.
- Strong analytical, problem-solving, written, oral, collaboration, communication, and mentoring skills.
- Preferred certifications include Microsoft Certified: DevOps Engineer Expert, Designing Microsoft Azure Infrastructure Solutions, Azure Solutions Architect Expert, Azure Data Engineer Associate, Fabric Analytics Engineer Associate, HashiCorp Certified: Terraform Associate, and Databricks Certified Data Engineer Associate or Professional.
- Experience with GenAI technologies and data-platform integration is preferred; Terraform Cloud and Ansible Tower knowledge is advantageous.
- Ability to lead or support teams, manage offshore communication and deliverables, and present at a conference level is advantageous.
Benefits
- Continuous learning opportunities and access to skills, insights, coaching, and leadership development.
- Flexible tools and support to make a meaningful impact and define success personally.
- Diverse and inclusive global delivery culture with collaboration across EY teams, service lines, geographies, and sectors.
- The role is part of EY Global Delivery Services, which operates across Argentina, China, India, the Philippines, Poland, and the UK.
- Travel may be required according to client and job requirements.
Tech Stack
AnsibleApache SparkArgo CDAWSAzureBashDatabricksDatadogDockerGitGitHub ActionsGoogle Cloud PlatformGrafanaGroovyKubernetesPowerShellPrometheusPythonSonarQubeSplunkSubversionTerraform
Categories
Data EngineeringDevOps
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.