Negotiable
Outside
Remote
USA
Summary: The Google Cloud Platform Data Engineer role focuses on designing and deploying cloud-based infrastructure primarily on Google Cloud Platform, with a strong emphasis on automation and security. The position requires collaboration with development teams to create scalable architectures and involves a mix of infrastructure and application responsibilities. The role is remote and is classified as outside IR35.
Key Responsibilities:
- Design and deploy cloud-based infrastructure on Google Cloud Platform using various services (e.g., Compute Engine, Kubernetes Engine, Cloud Functions, BigQuery, etc.).
- Manage and monitor cloud environments, ensuring their optimal performance, availability, and security.
- Collaborate with development teams to create efficient and scalable cloud architectures.
- Automate cloud operations using Infrastructure as Code (IaC) tools like Terraform, Cloud Deployment Manager, etc.
- Implement cloud security best practices to ensure data and application security.
- Troubleshoot and resolve issues related to Google Cloud Platform services, applications, and infrastructure.
- Provide cost optimization strategies and monitoring to ensure effective use of resources.
- Stay up-to-date with the latest Google Cloud Platform technologies and recommend improvements based on emerging trends.
- Perform regular backups, patching, and updates for cloud-based systems.
Key Skills:
- Proficiency in Python and Terraform.
- Experience with Apache Airflow, preferably via Cloud Composer.
- Knowledge of data modeling and data analysis, particularly in healthcare systems like UDMH, Cerner, and EPIC.
- Strong understanding of Google Cloud Platform services and architecture.
- Experience with Infrastructure as Code (IaC) tools.
- Ability to implement cloud security best practices.
- Problem-solving skills related to cloud services and infrastructure.
- Cost optimization strategies for cloud resources.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Job Title: Google Cloud Platform Data Engineer
Location: Remote
Python, terraform, Apache Airflow, preferably via Cloud Composer ( 80% Infra side and 20% Application side)
Google Cloud Platform Data Engineer Python, Apache Airflow, preferably via Cloud Composer ( 20% Infra side, 80% Application side)
Data Modeling, Data Analyst UDMH, Cerner, EPIC. (EHR)
Job Description:
Design and deploy cloud-based infrastructure on Google Cloud Platform (Google Cloud Platform) using various services (e.g., Compute Engine, Kubernetes Engine, Cloud Functions, BigQuery, etc.).
Manage and monitor cloud environments, ensuring their optimal performance, availability, and security.
Collaborate with development teams to create efficient and scalable cloud architectures.
Automate cloud operations using Infrastructure as Code (IaC) tools like Terraform, Cloud Deployment Manager, etc.
Implement cloud security best practices to ensure data and application security.
Troubleshoot and resolve issues related to Google Cloud Platform services, applications, and infrastructure.
Provide cost optimization strategies and monitoring to ensure effective use of resources.
Stay up-to-date with the latest Google Cloud Platform technologies and recommend improvements based on emerging trends.
Perform regular backups, patching, and updates for cloud-based systems.