About the Role:
We're seeking a skilled Cloud/DevOps Engineer with a strong focus on platform automation, observability, and hardening, to support the Data Analytics Platform team. We are supporting a business unit of one of the biggest global furniture companies in the world to build a data & analytics platform.
In this new role, you will play a crucial part in developing and optimizing the D&A platform. This is a hands-on role requiring expertise in Azure, Python, automation, and infrastructure as code (IaC), allowing dynamic scaling and provisioning for efficient data pipeline operations.
Key Responsibilities:
- Create and maintain Infrastructure as code using Terraform (must) for Data & analytics workloads
- Build and Manage Github Actions pipelines for CI/CD and Release Management workflows.
- Manage Github repos and automation.
- Implement security architecture to ensure data security .
- Implement observability patterns using Azure Monitor Azure Application Insights and Log Analytics Workspace.
- Develop Python functions, classes & packages
- Design and build reusable components, frameworks, and libraries at scale to support analytics products (Python, Spark, SQL)
- Implement automated testing for the Data & Analytics platform
- Support in building Data & Analytics Accelerators
- Define and implement the configuration of Azure PAAS and IAAS services
