Diverse Lynx
GCP Data Architect
Diverse Lynx, Woonsocket, Rhode Island, us, 02895
Knowledge & Skills:
¿ Understanding and experience with Google Cloud architecture
¿ In-depth knowledge of database and data warehouse technologies & concepts
from Google (e.g., Big Query, Cloud SQL, Spanner, Big Table)
¿ Experience in enterprise scale Data modelling/Data warehouse
modernization/Cloud based data lakes
¿ Build the infrastructure required for optimal extraction, transformation, and
loading of data from a wide variety of data sources using SQL and Google cloud big
data' technologies.
¿ Building Data pipelines with Data proc Cluster, Data Flow, Pub sub, Cloud
Composer (Airflow), Cloud functions etc.
¿ Fluency in object-oriented languages, preferably Python.
¿ Strong understanding of distributed systems architecture.
¿ Data quality process experience including data cleansing, audits and alerts, triage
mechanisms & processes, and referential integrity.
¿ CI/CD: Release, deployment with Google Cloud build and git flow, GKE, Docker
¿
¿ Requirements:
¿ 4+ years' experience architecting with GCP Database Technologies
¿ 2+ year's hands-on experience on GCP
¿ Certification like Google Cloud Professional Cloud Architect, Google Professional
Data Engineer would be a plus.o Cloud Management Platforms,Virtualization Strategies, Automation and Orchestration Strategies, Public
Cloud Platforms, Cloud Capacity/Performance Optimization, and Application
Migrations to a Cloud Platform with a clear understanding of how an IT
organization capitalizes upon technology to enable the business.• Deep knowledge of cloud best practices to reduce cost of operations along
with high SLOs like five 9's availability across tiers.• Working knowledge and skills in cloud container services -GKE, storage
services (e.g. Cloud Storage), database services (Spanner| Big Query), digital
or infrastructure deployments that includes managing projects related to
highly virtualized solutions, digital convergence, outsourcing or systems integrations, network engineering, and security.• Deep understanding of GCP vertex search and other AI/Client services. Must be
able to identify and solve AI/Client use cases across enterprise.• Deep understanding of microservices patterns and hands on experience with
Microservices.• Defining cloud adoption strategy and transformation roadmap for large scale
enterprise clients.• Designing, architecting, implementing, and managing cloud infrastructure on
Google Cloud Platform.
Requirements:• 5+ years' experience architecting with GCP Technologies.• 2+ year's hands-on experience on developing enterprise cloud applications.• Certification like Google Cloud Professional Cloud Architect would be a plus.
¿ Understanding and experience with Google Cloud architecture
¿ In-depth knowledge of database and data warehouse technologies & concepts
from Google (e.g., Big Query, Cloud SQL, Spanner, Big Table)
¿ Experience in enterprise scale Data modelling/Data warehouse
modernization/Cloud based data lakes
¿ Build the infrastructure required for optimal extraction, transformation, and
loading of data from a wide variety of data sources using SQL and Google cloud big
data' technologies.
¿ Building Data pipelines with Data proc Cluster, Data Flow, Pub sub, Cloud
Composer (Airflow), Cloud functions etc.
¿ Fluency in object-oriented languages, preferably Python.
¿ Strong understanding of distributed systems architecture.
¿ Data quality process experience including data cleansing, audits and alerts, triage
mechanisms & processes, and referential integrity.
¿ CI/CD: Release, deployment with Google Cloud build and git flow, GKE, Docker
¿
¿ Requirements:
¿ 4+ years' experience architecting with GCP Database Technologies
¿ 2+ year's hands-on experience on GCP
¿ Certification like Google Cloud Professional Cloud Architect, Google Professional
Data Engineer would be a plus.o Cloud Management Platforms,Virtualization Strategies, Automation and Orchestration Strategies, Public
Cloud Platforms, Cloud Capacity/Performance Optimization, and Application
Migrations to a Cloud Platform with a clear understanding of how an IT
organization capitalizes upon technology to enable the business.• Deep knowledge of cloud best practices to reduce cost of operations along
with high SLOs like five 9's availability across tiers.• Working knowledge and skills in cloud container services -GKE, storage
services (e.g. Cloud Storage), database services (Spanner| Big Query), digital
or infrastructure deployments that includes managing projects related to
highly virtualized solutions, digital convergence, outsourcing or systems integrations, network engineering, and security.• Deep understanding of GCP vertex search and other AI/Client services. Must be
able to identify and solve AI/Client use cases across enterprise.• Deep understanding of microservices patterns and hands on experience with
Microservices.• Defining cloud adoption strategy and transformation roadmap for large scale
enterprise clients.• Designing, architecting, implementing, and managing cloud infrastructure on
Google Cloud Platform.
Requirements:• 5+ years' experience architecting with GCP Technologies.• 2+ year's hands-on experience on developing enterprise cloud applications.• Certification like Google Cloud Professional Cloud Architect would be a plus.