Azure and Google Cloud Data Engineer - Hybrid NYC

job summary:

Position Overview

We are seeking an experienced Azure & Google Cloud Engineer (Contractor) to support cloud infrastructure, application modernization, data integration, and platform operations across Microsoft Azure and Google Cloud Platform (Google Cloud Platform). The ideal candidate will have hands-on experience designing, implementing, securing, and maintaining cloud-native solutions while ensuring scalability, reliability, and compliance with enterprise standards.

Key Responsibilities

Design, implement, and support cloud solutions in Microsoft Azure and Google Cloud Platform (Google Cloud Platform).

Build and maintain cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform or ARM/Bicep.

Develop and manage CI/CD pipelines using Azure DevOps, GitHub Actions, or similar platforms.

Configure and support cloud networking, security, identity management, and access controls.

Monitor cloud environments, troubleshoot issues, and optimize performance and costs.

Implement backup, disaster recovery, and business continuity strategies.

Support cloud migration initiatives from on-premises environments to Azure and Google Cloud Platform.

Work closely with application development, data engineering, cybersecurity, and infrastructure teams.

Ensure compliance with organizational security, governance, and operational standards.

Maintain technical documentation, architecture diagrams, and operational procedures.

Required Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.

7+ years of experience in cloud engineering or cloud infrastructure management.

Strong hands-on experience with:

Microsoft Azure (App Services, Storage Accounts, Azure SQL, Functions, Key Vault, Networking)

Google Cloud Platform (Compute Engine, Cloud Storage, Cloud SQL, GKE, IAM)

Experience with Infrastructure as Code (Terraform, ARM Templates, Bicep).

Experience with CI/CD tools such as Azure DevOps, GitHub Actions, or Jenkins.

Strong understanding of networking, DNS, firewalls, VPNs, identity and access management.

Experience with scripting languages such as PowerShell, Python, or Bash.

Knowledge of cloud security best practices and compliance frameworks.

Preferred Qualifications

Microsoft Azure Certifications (AZ-104, AZ-305, AZ-400).

Google Cloud Certifications (Associate Cloud Engineer, Professional Cloud Architect).

Experience with Kubernetes, Docker, and container orchestration platforms.

Experience supporting enterprise-scale cloud migration and modernization projects.

Knowledge of data integration and analytics platforms.

Desired Skills

Excellent problem-solving and troubleshooting abilities.

Strong communication and collaboration skills.

Ability to work independently in a fast-paced environment.

Strong documentation and stakeholder management skills.

TECHNICAL SKILLS

Must Have

3+ years of experience with C#, .Net, HTML, CSS, and JavaScript/jQuery

Azure Cloud Data Engineer

Azure Machine Learning

Big Query

database/ETL/BI expert

Google cloud Data Engineer

python Pyspark programming

Nice To Have

Azure Databricks

Google Cloud Platform Cloud Architect

Generative AI

Google Cloud Certifications

Vertex AI

location: New York, New York
job type: Contract
salary: $70 - 75 per hour
work hours: 9am to 5pm
education: Bachelors
responsibilities:

Position Overview We are seeking an experienced Azure & Google Cloud Engineer (Contractor) to support cloud infrastructure, application modernization, data integration, and platform operations across Microsoft Azure and Google Cloud Platform (Google Cloud Platform). The ideal candidate will have hands-on experience designing, implementing, securing, and maintaining cloud-native solutions while ensuring scalability, reliability, and compliance with enterprise standards.

Key Responsibilities

• Design, implement, and support cloud solutions in Microsoft Azure and Google Cloud Platform (Google Cloud Platform).


• Build and maintain cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform or ARM/Bicep.


• Develop and manage CI/CD pipelines using Azure DevOps, GitHub Actions, or similar platforms.


• Configure and support cloud networking, security, identity management, and access controls.


• Monitor cloud environments, troubleshoot issues, and optimize performance and costs.


• Implement backup, disaster recovery, and business continuity strategies.


• Support cloud migration initiatives from on-premises environments to Azure and Google Cloud Platform.


• Work closely with application development, data engineering, cybersecurity, and infrastructure teams.


• Ensure compliance with organizational security, governance, and operational standards.


• Maintain technical documentation, architecture diagrams, and operational procedures.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.


• 7+ years of experience in cloud engineering or cloud infrastructure management.


• Strong hands-on experience with:
  
  
  
  • Microsoft Azure (App Services, Storage Accounts, Azure SQL, Functions, Key Vault, Networking)
  
  
  • Google Cloud Platform (Compute Engine, Cloud Storage, Cloud SQL, GKE, IAM)
  
  
  
  


• Experience with Infrastructure as Code (Terraform, ARM Templates, Bicep).


• Experience with CI/CD tools such as Azure DevOps, GitHub Actions, or Jenkins.


• Strong understanding of networking, DNS, firewalls, VPNs, identity and access management.


• Experience with scripting languages such as PowerShell, Python, or Bash.


• Knowledge of cloud security best practices and compliance frameworks.

Preferred Qualifications

• Microsoft Azure Certifications (AZ-104, AZ-305, AZ-400).


• Google Cloud Certifications (Associate Cloud Engineer, Professional Cloud Architect).


• Experience with Kubernetes, Docker, and container orchestration platforms.


• Experience supporting enterprise-scale cloud migration and modernization projects.


• Knowledge of data integration and analytics platforms.

Desired Skills

• Excellent problem-solving and troubleshooting abilities.


• Strong communication and collaboration skills.


• Ability to work independently in a fast-paced environment.


• Strong documentation and stakeholder management skills.

TECHNICAL SKILLS Must Have

• 3+ years of experience with C#, .Net, HTML, CSS, and JavaScript/jQuery


• Azure Cloud Data Engineer


• Azure Machine Learning


• Big Query


• database/ETL/BI expert


• Google cloud Data Engineer


• python Pyspark programming

Nice To Have

qualifications:

TECHNICAL SKILLS

Must Have

3+ years of experience with C#, .Net, HTML, CSS, and JavaScript/jQuery

Azure Cloud Data Engineer

Azure Machine Learning

Big Query

database/ETL/BI expert

Google cloud Data Engineer

python Pyspark programming

Nice To Have

Azure Databricks

Google Cloud Platform Cloud Architect

Generative AI

Google Cloud Certifications

Vertex AI

skills:

.Net,Azure Machine Learning,ARM Templates,backup,Bash,Bicep,analytics platforms,C#,CSS,cloud infrastructure,cloud-native solutions,cloud networking,Cloud,cloud security best practices,cloud engineering,cloud infrastructure management,Cloud Engineer,cloud migration,cloud environments,cloud solutions,Storage Accounts,Cloud Storage,programming,CI/CD,cybersecurity,data integration,database,disaster recovery,Docker,DNS,ETL,firewalls,GitHub Actions,Google Cloud,Google Cloud Platform (Google Cloud Platform),Google Cloud Platform,HTML,identity management,IAM,identity