About this role
The Platform Engineer will be responsible for designing, building, and maintaining scalable, secure, cloud-native data platforms primarily on Microsoft Azure. Key tasks include automating infrastructure using scripting, deploying and managing containerized workloads on Kubernetes, and supporting data platforms based on Apache Spark and Iceberg.
Candidates must possess strong hands-on experience with cloud-native platforms on Microsoft Azure, including expertise in Linux, Python, and Shell scripting for automation. Essential technical requirements involve solid experience with Docker, Kubernetes (AKS preferred), and supporting production Apache Spark workloads.
What they're looking for
Microsoft AzureKubernetesLinuxPythonShell ScriptingDockerApache SparkApache Iceberg
Frequently asked questions
What does a Data Platform Engineer at Capgemini do?
The Platform Engineer will be responsible for designing, building, and maintaining scalable, secure, cloud-native data platforms primarily on Microsoft Azure. Key tasks include automating infrastructure using scripting, deploying and managing containerized workloads on Kubernetes, and supporting dat…
What skills does this Data Platform Engineer role need?
Key skills for this role include Microsoft Azure, Kubernetes, Linux, Python, Shell Scripting, Docker.
How much does a Data Platform Engineer at Capgemini pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Data Platform Engineer role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Data Platform Engineer role?
You can apply directly on Capgemini's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.