We are looking for a Cloud Engineer with a solid data engineering foundation to help design, build, and maintain scalable cloud infrastructure for our data platforms. This role is ideal for someone who has worked hands-on with data pipelines and wants to deepen their expertise in cloud architecture, infrastructure automation, and platform reliability.
Key Responsibilities
Design, deploy, and maintain cloud infrastructure supporting data pipelines and analytics workloads
Collaborate with data engineering teams to optimize data storage, compute, and networking on the cloud
Build and manage CI/CD pipelines for infrastructure and data workflows
Implement infrastructure-as-code (IaC)
using tools like Terraform or CloudFormation
Monitor cloud environments for performance, cost optimization, and security compliance
Support migration of on-prem or legacy data systems to cloud-native architectures
Troubleshoot infrastructure and pipeline issues across cloud settings
Work closely with data engineers, DevOps, and architects to ensure reliable, scalable systems
Required Skills & Experience
2–5 years of overall experience, with a background in data engineering (building pipelines, working with data platforms/tools like Spark, Databricks, Airflow, etc.)
Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP)
Basic understanding of CI/CD tools (Jenkins, GitHub Actions, Azure DevOps)
Scripting skills in Python or Bash for automation
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📌 Cloud Engineer Ii Karnataka
🏢 MathCo India
📍 Karnataka
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