Senior Cloud Engineer (Part-time)

We are seeking a part-time Cloud Engineer to design, implement, and maintain scalable cloud-based data pipelines and integration solutions across Azure and Google Cloud platforms.

Key Responsibilities

• Execute end-to-end data migration and replication from Azure (Cosmos DB, Blob Storage) to Google Cloud Storage and other GCP services, ensuring secure, performant transfers across cloud boundaries.
• Design, develop, and manage end-to-end data ingestion and replication pipelines using Azure Cosmos DB Change Feed and Azure Functions.
• Architect and implement secure, high-throughput integrations from Azure to Google Cloud services (e.g., Firestore, BigQuery).
• Build and maintain infrastructure as code (IaC) for automated deployment and configuration management in Azure and GCP environments.
• Implement robust error handling, retry logic, and monitoring to ensure data consistency and system reliability.
• Collaborate with cross-functional teams to define data requirements and deliver integration solutions that meet business objectives.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in cloud data engineering, with a focus on Azure and GCP platforms.
• Proven expertise with Azure Cosmos DB (NoSQL) and the Change Feed mechanism.
• Strong proficiency in developing serverless functions in C#/.NET and/or Python.
• Experience with infrastructure as code tools such as Terraform, ARM templates, or Deployment Manager.
• Solid understanding of cloud networking, security best practices, and IAM configurations.

Preferred Skills

• Hands-on experience with Google Cloud Firestore, BigQuery, and Dataflow.
• Familiarity with CI/CD pipelines using Azure DevOps, GitHub Actions, or equivalent tooling.
• Excellent communication skills and a proven track record of collaborating with distributed teams.
• Certifications such as Microsoft Certified: Azure Data Engineer Associate or Google Professional Data Engineer.