Key Responsibilities

<ul>
<li>Design and implement cloud infrastructure components to support enterprise-grade data platforms</li>
</ul>

<ul>
<li>Automate infrastructure deployment using IaC tools like Terraform, CloudFormation or ARM templates</li>
</ul>

<ul>
<li>Establish and manage CI/CD pipelines for data engineering workflows</li>
</ul>

<ul>
<li>Optimize cloud resource usage, cost, and performance across environments</li>
</ul>

<ul>
<li>Collaborate with data engineers and architects to ensure smooth data platform integration</li>
</ul>

<ul>
<li>Set up monitoring, alerting, and logging solutions to ensure platform health</li>
</ul>

<ul>
<li>Implement security policies, network configurations, and role-based access control (RBAC)</li>
</ul>

<ul>
<li>Stay current with industry best practices and evolving technologies in cloud and DevOps</li>
</ul>

Qualifications we seek in you!

Minimum Qualificatons

<ul>
<li>hands-on experience with cloud infrastructure and DevOps practices</li>
</ul>

<ul>
<li>Proven expertise with at least one hyperscaler (AWS, Azure, GCP)</li>
</ul>

<ul>
<li>Strong proficiency in infrastructure-as-code, CI/CD tools (e.g. Jenkins, GitHub Actions, Azure DevOps)</li>
</ul>

<ul>
<li>Experience deploying or supporting distributed data platforms (e.g. Databricks, Snowflake, Kafka, Hadoop, BigQuery)</li>
</ul>

<ul>
<li>Deep understanding of containerization and orchestration (Docker, Kubernetes)</li>
</ul>

<ul>
<li>Proficiency in scripting languages like Python, Bash, or PowerShell</li>
</ul>

<ul>
<li>Familiarity with cloud networking, security frameworks, and IAM</li>
</ul>

<ul>
<li>Excellent problem-solving skills and collaborative mindset</li>
</ul>

Preferred Qualifications

<ul>
<li>Certifications in cloud technologies (e.g. AWS Solutions Architect, Azure Administrator, GCP Cloud Engineer)</li>
</ul>

<ul>
<li>Exposure to data governance, data lakehouse architectures, or real-time data processing</li>
</ul>

<ul>
<li>Experience working in Agile/Scrum teams</li>
</ul>

Cloud Consultant

India

Key Responsibilities Design and implement cloud infrastructure components to support enterprise-grade data platforms Automate infrastructure deployment using IaC tools like Terraform, CloudFormation or ARM templates Establish and manage CI/CD pipelines for data engineering workflows Optimize cloud resource usage, cost, and performance across environments Collaborate with data engineers and architects to ensure smooth data platform integration Set up monitoring, alerting, and logging solutions to ensure platform health Implement security policies, network configurations, and role-based access control (RBAC) Stay current with industry best practices and evolving technologies in cloud and DevOps Qualifications we seek in you! Minimum Qualificatons hands-on experience with cloud infrastructure and DevOps practices Proven expertise with at least one hyperscaler (AWS, Azure, GCP) Strong proficiency in infrastructure-as-code, CI/CD tools (e.g. Jenkins, GitHub Actions, Azure DevOps) Experience deploying or supporting distributed data platforms (e.g. Databricks, Snowflake, Kafka, Hadoop, BigQuery) Deep understanding of containerization and orchestration (Docker, Kubernetes) Proficiency in scripting languages like Python, Bash, or PowerShell Familiarity with cloud networking, security frameworks, and IAM Excellent problem-solving skills and collaborative mindset Preferred Qualifications Certifications in cloud technologies (e.g. AWS Solutions Architect, Azure Administrator, GCP Cloud Engineer) Exposure to data governance, data lakehouse architectures, or real-time data processing Experience working in Agile/Scrum teams

Cloud Consultant · New Delhi

Job highlights

Skillset required

Job Description

Job Description for Cloud Consultant

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