Engineer AZURE English, 100 En remoto

We are looking for a skilled Azure Platform and Synapse Engineer to support the implementation and

operation of cloud-based infrastructures and analytics platforms. The ideal candidate will be experienced in

provisioning, managing, and optimizing Azure services with a focus on automation, cost efficiency, and secure

Key Responsibilities

Design and implement CI / CD pipelines using Terraform and manage infrastructure provisioning in

Set up and manage Azure infrastructure, including storage accounts, virtual networks, security groups,

and container environments (Docker / Kubernetes).

Handle Azure networking tasks, ensuring seamless integration with internal and external systems,

regulatory services, and other infrastructure components.

Deploy and manage Azure Synapse components, including SQL and Spark pools.

Manage Azure Event Hubs for real-time data ingestion and stream processing.

Ensure high availability, reliability, and performance of Synapse-based solutions, including tuning and

Integrate Azure ML with Synapse for advanced analytics and predictive modelling.

Consult with stakeholders to deliver end-to-end use cases using Azure in a cost-effective and scalable

manner.

Maintain and optimize Azure infrastructure environments, with ongoing monitoring and improvement.

Required Skills and Experience

Hands-on experience with Azure infrastructure setup : storage, networking, security configuration.

Strong knowledge of Infrastructure as Code (IaC) tools : Terraform, ARM templates, Bicep, or Ansible.

Experience deploying applications, databases, and data pipelines in Azure.

Familiarity with containers (Docker / Kubernetes) and DevOps practices.

Azure resource and cost management expertise.

Azure Synapse Infrastructure Operations :

Solid experience with Azure Synapse Analytics for data warehousing and big data integration.

Strong understanding of tuning, reliability, and high availability in Synapse environments.

Experience delivering end-to-end solutions using the full Azure Synapse stack.

Integration with Azure Machine Learning for advanced use cases.

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