Smart IT Frame LLC
GCP Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Engineer in NY (Onsite) with a contract length of "unknown" and a pay rate of "unknown." Key skills include strong Python development, GCP Bigtable expertise, and experience with serverless applications and scalable data storage.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 14, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, United States
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🧠 - Skills detailed
#Automation #Monitoring #Storage #Python #Data Processing #Cloud #Security #Deployment #Data Storage #DevOps #GCP (Google Cloud Platform) #Scala #Data Engineering
Role description
Role - GCP Data Engineer
Location - NY (Onsite)
Key Responsibilities
• Develop and maintain serverless applications using Python and GCP Bigtable.
• Design scalable data storage and cloud-native architectures on GCP.
• Build and optimize data processing solutions for performance, scalability, and cost efficiency.
• Integrate GCP services to enhance data processing capabilities.
• Implement security best practices in cloud deployments.
• Troubleshoot and resolve issues related to cloud functions and GCP services.
• Collaborate with DevOps teams for CI/CD, deployment automation, and monitoring.
• Mentor team members and document technical designs and best practices.
• Work with stakeholders to translate business requirements into technical solutions.
Mandatory Skills
• Strong Python development experience.
• Hands-on expertise with GCP Bigtable.
• Experience designing serverless and cloud-native applications on GCP.
• Knowledge of scalable data modelling and large-scale data storage.
• Experience with cloud functions, deployment automation, and monitoring.
Role - GCP Data Engineer
Location - NY (Onsite)
Key Responsibilities
• Develop and maintain serverless applications using Python and GCP Bigtable.
• Design scalable data storage and cloud-native architectures on GCP.
• Build and optimize data processing solutions for performance, scalability, and cost efficiency.
• Integrate GCP services to enhance data processing capabilities.
• Implement security best practices in cloud deployments.
• Troubleshoot and resolve issues related to cloud functions and GCP services.
• Collaborate with DevOps teams for CI/CD, deployment automation, and monitoring.
• Mentor team members and document technical designs and best practices.
• Work with stakeholders to translate business requirements into technical solutions.
Mandatory Skills
• Strong Python development experience.
• Hands-on expertise with GCP Bigtable.
• Experience designing serverless and cloud-native applications on GCP.
• Knowledge of scalable data modelling and large-scale data storage.
• Experience with cloud functions, deployment automation, and monitoring.
