Offer summary

Qualifications:

Proficiency in Azure and Terraform for cloud infrastructure design., Experience with data platforms such as Cloudera and Oracle., Strong technical background in data engineering and cloud technologies., Knowledge of data security, governance, and compliance best practices..

Key responsabilities:

Design and deploy scalable data infrastructure on Azure Cloud.

Enable robust data pipelines and automate platform tasks.

Support deployment and migration of Cloudera and Oracle systems to Azure.

Collaborate with cross-functional teams to build resilient data ecosystems.

Job description

Company Description

At Machine Learning Reply, we work with our customers on cutting-edge projects for which we are looking for Data Engineers to support our cloud-based customer projects in various industries. To expand our team, we are looking for a talented and highly skilled consultant with a technical background to join our team. As a consultant, you will be responsible for providing expert advice and technical support to our clients.

We’re on the lookout for a Data Engineer who doesn’t just wrangle data—but builds the cloud infrastructure that powers enterprise analytics. If you’re fluent in Azure, write Terraform, and have a solid grasp of data platforms like Cloudera and Oracle, then this role is for you.

What You’ll Do:

Design and deploy scalable data infrastructure using Azure Cloud and Terraform
Enable robust data pipelines, orchestration, and platform automation
Support the deployment, and migration of Cloudera Data Platform or Oracle-based systems to Azure.
Collaborate with Cloud Engineers, DevOps, and Data Scientists to build modern, resilient data ecosystems
Implement data security, governance, and compliance best practices across cloud platforms
Automate infrastructure tasks and CI/CD for data services using Infrastructure-as-Code