GCP Data engineer with Dataproc + Big Table

Responsibilities:

• Working with GCP team for various GCP Cloud programs including Certifications, Partner engineering, Marketplace and other Cloud platform solutions.
• Educating GCP / ISVs customers on best practices
• Stakeholders management / Communication: Google, ISVs, Project Teams
• Program Management and ExecutionManaging the teams on different projects
• Reporting and Project Communications
• Advocating the customer's perspective during product and architecture planning.
• Create and maintain a library of reusable container images
• Awareness of Business P&L and Goals aligned to technology and revenue

Technical Skills:

• Experience with private, hybrid or public cloud technology
• Possess Strong Cloud Implementation Experience in Cloud architecture/design, compute/storage services.
• Understand multi-Cloud/multi-zone based designs.
• Compute: Docker Apps, Lambda/ serverless, UserData customization
• Preferred: Cluster/HA based parallel design/multi-region approach
• Cloud automation: Ansible, YAML, CloudFormation
• Containers: Docker; Preferred: Container orchestration - Mesosphere, Kubernetes, ECS
• Familiarity with functional operations of server, storage, and network functions.
• Experience migrating Windows or Linux
• Virtualization experience (VMware, Xen, HyperV)
• Databases understanding: Oracle, DB2,MySql; Preferred: NoSql DB, MongoDB, Cassandra, DynamoDB
• Program Management experience from Planning to execution
• Having experience of Managing teams of moderate size
• Strong communications skill and multiple stakeholder’s management
• Experience in implementing cloud solutions.

Certifications:

• GCP Cloud Certification is Must
• Google Cloud Certified Professional Data Engineer
• Google Cloud Certified Professional Cloud Architect

Other Preferred Experience:

• Ex-Google PSO Experience and Ex-Google Highly Preferred
• Dataproc + Big Table  Experience is must