EY DE-Azure DevOps Engineer- Data Fabric-GDSF02 

India, Karnataka, Bengaluru 

783064366

Your role will be a Technology Lead, or Senior Technology Lead in the Cloud Engineering team. You will be responsible to be a part of the delivery of IT projects for our customers across the globe.

Your key responsibilities

• Architect, implement, and manage CI/CD pipelines using Azure DevOps for data and analytics workloads.
• Build and maintain CI/CD pipelines across on-premises and multi-cloud platforms (Azure, AWS, GCP), ensuring consistent and secure delivery practices.
• Integrate DevSecOps practices, including automated testing, code quality, and vulnerability scanning (e.g., SonarQube, Checkmarx, Veracode, Fortify) within CI/CD pipelines.
• Develop automation scripts using Bash, Python, Groovy, PowerShell, and leverage CLI tools (Azure CLI, AWS CLI) for operational tasks.
• Maintain and optimize source control systems (Git, SVN), enforcing branching strategies and code quality standards.
• Innovate in building independent automation solutions.
• Automate data workflows leveraging Azure Data Lake, Databricks, and Microsoft Fabric for scalable, secure, and high-performance data solutions.
• Integrate and orchestrate data pipelines and analytics solutions using Microsoft Fabric (including Lakehouse, Data Engineering, and Real-Time Analytics workloads).
• Automate deployment and management of Databricks clusters, notebooks, and jobs.
• Support migration and modernization of legacy data platforms to Azure and Microsoft Fabric.
• Develop infrastructure as code (IaC) for Azure resources using Terraform, ARM Templates, or Bicep.
• Demonstrate working knowledge of cloud-native services in Azure, including PaaS, SaaS, and IaaS offerings.
• Ensure cloud security best practices are followed, with a strong understanding of identity, access management, and network security in cloud environments.
• Comprehensive understanding of how IT operations are managed.
• Implement data governance, security, and compliance best practices across Azure Data Lake, Databricks, and Fabric environments.
• Monitor, troubleshoot, and optimize data pipelines and platform performance using Azure Monitor, Log Analytics, and Fabric monitoring tools.
• Collaborate with data engineers, analysts, and business stakeholders to deliver end-to-end data solutions.

Skills and attributes for success

• Strong hands-on experience with Azure DevOps for CI/CD automation, release management, and environment provisioning.
• Deep expertise in Azure Data Lake, Databricks (including Spark, Delta Lake), and Microsoft Fabric (Lakehouse, Data Engineering, Real-Time Analytics).
• Proficiency in scripting languages: Python, PowerShell, Shell.
• Experience with infrastructure automation tools: Terraform, ARM Templates, Bicep.
• Knowledge of data governance, security, and compliance in cloud environments.
• Familiarity with monitoring and observability tools: Azure Monitor, Log Analytics, Fabric monitoring.
• Ability to design scalable, secure, and cost-effective data architectures.
• Capability to identify, communicate, and mitigate project risks.
• Capability to create sustainable systems and services through automation and continuous improvement.
• Ability to communicate effectively with customers and team members; strong analytical and problem-solving skills; flexibility to lead or support the team in day-to-day tasks.
• Capability to design, build, and implement DevOps solutions for projects of varying complexity.
• Capability to design and implement monitoring and observability with various monitoring tools.
• Capability to implement SRE (Site Reliability Engineering) practices to reduce toil, measure, and optimize systems for agreed reliability.
• Strong understanding of agile methodologies.
• Capability to deliver best practices around provisioning, operations, and management of multi-cloud environments.
• Capability to manage communication and deliverables from offshore teams.
• Capability to assist the team in debugging and troubleshooting scripts (imperative and declarative).
• Capability to identify software packages and solutions that meet client requirements, develop RFPs, and assist clients in evaluating proposals (business and technology fit, pricing, and support).
• Experience designing and developing AI-infused DevOps frameworks.

To qualify for the role, you must have

• BE/B.Tech/MCA with a sound industry experience of 6 to 8 years
• Cloud Computing knowledge in multi cloud environments with Azure as the main one.
• DevOps – Setting up CI/CD pipeline using Azure DevOps.
• Hands-on experience with Azure Data Lake, Databricks (including Spark, Delta Lake), and Microsoft Fabric (Lakehouse, Data Engineering, Real-Time Analytics).
• Practical experience with Docker and Kubernetes (AKS/EKS/GKE).
• Proficiency in PowerShell, Python, Groovy, Shell scripting, and cloud-native CLI tools.
• Must be good in IAC tools such as Terraform or ARM or Bicep
• Understanding data governance, security, and compliance in cloud environments.

Preferred Skills

• Microsoft Certified: DevOps Engineer Expert (AZ-400)
• Microsoft Certified: Designing Microsoft Azure Infrastructure Solutions (AZ-305)
• Microsoft Certified: Azure Solutions Architect Expert
• Hashicorp Certified: Terraform Associates
• Microsoft Certified: Azure Data Engineer Associate (DP-203)
• Microsoft Certified: Fabric Analytics Engineer Associate
• Databricks Certified Data Engineer Associate/Professional
• Experience with GenAI technologies and integration with data platforms
• Good to have knowledge in Terraform Cloud, Ansible Tower

Your people responsibilities

• Foster teamwork and lead by example
• Participating in the organization-wide people initiatives
• Ability to travel in accordance with client and other job requirements
• Excellent written and oral communication skills; writing, publishing, and conference-level presentation skills a plus

Technologies and Tools

• Cloud platform - Azure
• SDLC Methodologies: Agile /Scrum
• Version Control Tools – GitHub/ Bitbucket/GitLab
• CI/CD Automation Tools – Azure DevOps/Github actions
• Data Platform- Azure Data Lake, Databricks, Microsoft Fabric
• Container Management Tools – Docker/Kubernetes/Docker Swarm
• Application Performance Management Tools – Prometheus/ Dynatrace/ AppDynamics
• Monitoring Tools – Splunk/ Datadog/ Grafana
• IAC Tools – Terraform/ARM Templates/ Bicep
• Artifact Management Tools – Jfrog Artifactory/Nexus/CloudRepo/Azure Artifactory
• Scripting - Python/Groovy/PowerShell/Shell Scripting
• SAST/ DAST: SonarQube / Veracode/ Fortify
• GitOps Tool – Argo CD/ Flux CD
• GenAI Technology – Chat GPT, OpenAI

What we look for

• Demonstrated experience in building and automating data platforms using Azure and Databricks.
• Proven track record in implementing CI/CD for data workloads and multiple technologies, including strong use of DevOps tools and containerization.
• Strong understanding of Microsoft Fabric and modern data architectures.
• Experience with infrastructure automation (IaC tools + configuration management) and application automation using Azure DevOps.
• Working experience in Azure with a solid grasp of cloud architecture strategy and cloud-related concepts.
• Good exposure to cloud and container monitoring, logging, and troubleshooting.
• Ability to design, conduct, and experiment with new technologies and approaches.
• Ability to work collaboratively in cross-functional teams and mentor others.
• Excellent communication, analytical, and problem-solving skills.

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland, and the UK – and with teams from all EY service lines, geographies, and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills, and insights that will stay with you throughout your career.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.