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DE-Azure DevOps Engineer- Data Fabric-GDSF02 Job Opening In Bengaluru – Now Hiring EY


Job description

The opportunity

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 (, 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/ 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 | Building a better working world 

    Required Skill Profession

    Other General


    • Job Details

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