Overview
On Site
Accepts corp to corp applications
Contract - Independent
Contract - W2
Skills
ETL
teradata
GCP
Data engineer
big query
Job Details
Platform Engineering & Cloud Architecture
- 11+ years experience with platform engineering and architecting solutions for cloud platforms
- Experience with multi-cloud or hybrid cloud environments
- Strong understanding of cloud security best practices and compliance frameworks
Infrastructure as Code & Automation
- Hands-on experience using Terraform to manage large enterprise cloud environments
- Experience with Terraform modules, state management, and CI/CD integration
- Proficiency with infrastructure automation tools (GitHub actions, workflows)
- Experience with GitOps approaches to manage cloud environments
- GitHub workflow/action experience is mandatory for this role
Cloud Platform Expertise (Mandatory)
- Google Cloud Platform experience is mandatory - deep knowledge of core services including:
- Compute Engine, GKE, Cloud Run, Cloud Functions
- AI/ML services (Vertex AI, AutoML, BigQuery ML)
- Storage solutions (Cloud Storage, Spanner, BigTable, BQ)
- Networking (VPC, Load Balancers, Cloud NAT, Interconnect)
- Security (IAM, Cloud KMS, Security Command Center)
- Knowledge of cloud cost optimization and resource management
Programming & Scripting
- Strong Python skills - automation, data processing, and cloud SDK integration
- Strong JavaScript/Node.js skills - backend services and automation tooling
- Bash/Shell scripting for automation and system administration
- Experience with API development and integration
DevOps & Container Orchestration
- Strong DevOps practices and CI/CD pipeline design
- Kubernetes skills required - cluster management, deployment strategies, monitoring
- Docker containerization and registry management
- Experience with service mesh technologies (Istio, Linkerd)
- Monitoring and observability tools (Prometheus, Grafana, Cloud Monitoring)
Data & AI/ML Platform Management
- Experience managing big data platforms (BigQuery, Dataflow, Dataproc)
- Knowledge of AI/ML infrastructure and model deployment pipelines
- Experience with data governance and privacy compliance
- Understanding of data lake and data warehouse architectures
Communication & Collaboration
- Excellent technical documentation and communication skills
- Experience working with cross-functional teams and stakeholders
- Ability to translate business requirements into technical solutions
- Experience in agile development environments
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