GCP Data Engineer only W2

One of my Clients is Hiring for GCP Data Engineer at Charlotte, NC-Hybrid for Long term Contract.

Location:

Charlotte, NC (3days Hybrid)

Type:
Long Term Contract

Overall 10+ years exp for a highly experienced Google Cloud Engineer with deep expertise in Python, Django, Spark, and Google Cloud Platform (GCP) to design, build, and optimize scalable, cloud-native data and analytics solutions.

• Design, develop, and maintain cloud-native backend applications using Python and Django on GCP
• Build and optimize Apache Spark / PySpark pipelines for large-scale batch and streaming data processing
• Architect end-to-end solutions leveraging GCP services such as Compute Engine, GKE, Cloud Run, Big Query, Dataproc, Dataflow, Cloud Storage, and Pub/Sub
• Develop secure, scalable RESTful APIs and microservices using Django and Django REST Framework
• Ensure high availability, performance, and scalability of applications and data pipelines
• Implement CI/CD pipelines and Infrastructure as Code (Terraform, Cloud Build, Git Hub/Git Lab)
• Apply best practices for security, authentication, authorization, and data protection
• Monitor, troubleshoot, and optimize production workloads using Cloud Monitoring and Logging
• Collaborate with product managers, data engineers, and platform teams to deliver business-critical solutions

• 10+ years of professional experience in software or cloud engineering
• Strong hands-on experience with Google Cloud Platform (GCP)
• Extensive experience with Django and Django REST Framework
• Strong hands-on experience with Apache Spark / Py Spark
• Solid understanding of distributed systems, microservices architecture, and REST APIs
• Experience with Big Query, SQL optimization, and data modeling
• Experience with Dataproc, Dataflow, or managed Spark environments
• Proficiency with Docker, Kubernetes (GKE), and Linux
• Experience with CI/CD, version control, and automated testing