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Senior Data DevOps Engineer

Role overview

Qualifications

  • 3+ years of experience working with Azure Cloud services, Azure DevOps, Azure PowerShell, and Terraform
  • Expertise in hands-on infrastructure automation using Terraform and Azure DevOps pipelines
  • Skills in communicating with multiple stakeholders across technical and business teams
  • Proficiency in English at a B2+ level

Responsibilities

  • Implement and maintain advanced Terraform configurations and Azure DevOps pipelines across multiple subscriptions and environments
  • Communicate effectively with multiple stakeholders to align technical solutions with business needs
  • Improve performance, monitor, troubleshoot, and prevent issues across data workloads
  • Collaborate with Architecture teams to ensure platform architecture and design standards complement the support model

Key facts

Hard skills

Other skills

  • Communication

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

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Job description

We are looking for a Senior Data DevOps Engineer to join a team responsible for implementing and supporting critical aspects of an Azure data platform, including infrastructure changes, monitoring, end-to-end tracking, automation and self-healing, anomaly detection, event correlation and analysis, performance analysis, and access permissions management. Responsibilities Implement and maintain advanced Terraform configurations and Azure DevOps pipelines across multiple subscriptions and environments Communicate effectively with multiple stakeholders to align technical solutions with business needs Improve performance, monitor, troubleshoot, and prevent issues across data workloads Collaborate with Architecture teams to ensure platform architecture and design standards complement the support model Identify opportunities to optimize data platform activities, support processes, and operational workflows Automate and streamline administrative activities, infrastructure, and application deployments Partner with the SRE team to support platform reliability and stability Requirements 3+ years of experience working with Azure Cloud services, Azure DevOps, Azure PowerShell, and Terraform Expertise in hands-on infrastructure automation using Terraform and Azure DevOps pipelines across multiple subscriptions and environments Skills in communicating with multiple stakeholders across technical and business teams Understanding of platform architecture and design standards to support collaboration with Architecture teams Capability to identify and implement automation opportunities for administrative, infrastructure, and deployment activities Proficiency in English at a B2+ level Nice to have Knowledge of Azure Data Factory, Azure Data Lake Storage, and Azure Databricks Familiarity with Azure Monitor and Azure SQL Database Background in Azure Storage and Azure Synapse Analytics

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