Senior Azure DevOps Engineer (Data Platforms) - 5+ years of experience

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DuPont

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python SQL Azure Databricks Shell pySpark CI Analytics Shell Script Factory

Job Description

At DuPont, our purpose is to empower the world with essential innovations to thrive. We work on things that matter. Whether it’s providing clean water to more than a billion people on the planet, producing materials that are essential in everyday technology devices from smartphones to electric vehicles, or protecting workers around the world. Discover the many reasons the world’s most talented people are choosing to work at DuPont. Why Join Us | DuPont Careers

Key Responsibilities

Azure DevOps & CI/CD Engineering

  • Design, build, and maintain CI/CD pipelines using Azure DevOps for data engineering and analytics workloads
  • Automate build, release, and deployment of Azure Data Factory pipelines, Databricks notebooks, Power BI artifacts, and configurations
  • Implement Git-based branching, versioning, and release strategies across multiple environments
  • Reduce manual deployment effort through automation, standardization, and reusable templates


Azure Cloud & Infrastructure Management

  • Provision and manage Azure infrastructure supporting big data and analytics platforms using DevOps practices
  • Support and maintain Azure Data Factory, Azure Databricks, ADLS Gen2, and related services
  • Design scalable and high-performance Azure environments for batch and near real-time data processing
  • Optimize resource utilization, performance, and cloud costs


Data Platform DevOps & Administration

  • Administer and support Azure Databricks workspaces at enterprise scale
  • Implement and manage Unity Catalog for centralized governance, security, and access control
  • Enforce data governance, encryption, RBAC, and compliance standards across environments
  • Partner with data engineering teams to improve pipeline reliability, performance, and uptime


Automation & Scripting

  • Develop automation using Python, PySpark, SQL, and shell scripting
  • Automate environment provisioning, data migrations, and artifact deployments
  • Build reusable frameworks for repeatable, auditable, and controlled releases


Monitoring, Security & Reliability

  • Implement monitoring and alerting for data pipelines and Azure services
  • Ensure high availability and SLA adherence for batch and streaming workloads
  • Embed DevSecOps practices, including secrets management and secure access patterns


Collaboration, Governance & Delivery

  • Work closely with data engineers, BI developers, cloud architects, and business teams
  • Provide platform guidance and DevOps best practices to cross-functional teams
  • Document CI/CD standards, deployment processes, and operational runbooks
  • Drive continuous improvements that enhance delivery efficiency and reduce operational overhead


Required Technical Skills

  • Azure DevOps (Repos, Pipelines)
  • Azure Data Factory, Azure Databricks, ADLS Gen2
  • CI/CD automation for data and analytics platforms
  • Python, PySpark, SQL
  • Git-based source control and release management
  • Power BI deployment and migration automation
  • Data governance, security, and access control (Unity Catalog preferred)


Join our Talent Community to stay connected with us!

DuPont is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information.

DuPont offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page.

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