Senior Azure DevOps Engineer (Terraform) Poland

Company Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18500+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

Are you an experienced Azure DevOps Engineer with a passion for automating data engineering processes? If you're passionate about DevOps and data engineering and have the skills to drive innovation in a dynamic environment, we'd love to hear from you! 

Responsibilities: 

• CI/CD Pipeline Development & Maintenance: Design, implement, and maintain robust Azure DevOps pipelines to automate and streamline data engineering processes.
• Infrastructure as Code (IaC): Leverage Terraform, Python, and other tools to define, manage, and optimize cloud infrastructure.
• Platform Enablement: Optimize development platforms and tools to enable DevOps best practices for data engineering teams.
• Project Ownership: Take charge of brownfield implementations, ensuring seamless integration and modernization of existing systems.
• Collaboration & Support: Partner with cross-functional teams to troubleshoot issues, enhance efficiency, and support the transition to mesh architecture.
• Monitoring & Optimization: Continuously monitor pipelines and infrastructure for performance, scalability, and security, implementing improvements as needed.

Qualifications

Must-Have Skills:

• Azure DevOps: Strong expertise in managing and optimizing Azure-based CI/CD pipelines.
• Terraform: Strong proficiency in Infrastructure as Code (IaC) for defining and managing cloud infrastructure.

Good-to-Have Skills:

• Snowflake: Experience with data warehousing and Snowflake integration.
• DWHA Tooling: Familiarity with tools like DBT, DVB, or similar.
• Data Mesh Architecture: Exposure to decentralized data infrastructure and domain-oriented data ownership.

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