Company Description
We're Nagarro.
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 (18,500+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!
By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.
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
- 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.
- 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.
