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 years hands-on experience on GCP
Certification like Google Cloud Professional Cloud Architect, Google Professional
Data Engineer would be a plus.
o Cloud ManagementPlatforms,
Virtualization Strategies, Automation and OrchestrationStrategies, Public
Cloud Platforms, Cloud Capacity/Performance Optimization, andApplication
Migrations to a Cloud Platform with a clear understanding of howan IT
organization capitalizes upon technology to enable the business.
•Deep knowledge of cloud best practices to reduce cost ofoperations along
with high SLOs like five 9s availability across tiers.
•Working knowledge and skills in cloud container services -GKE,storage
services (e.g. Cloud Storage), database services (Spanner| BigQuery), digital
or infrastructure deployments that includes managing projectsrelated to
highly virtualized solutions, digital convergence, outsourcing orsystems integrations, network engineering, and security.
•Deep understanding of GCP vertex search and other AI/ML services.Must be
able to identify and solve AI/ML use cases across enterprise.
•Deep understanding of microservices patterns and hands onexperience with
Microservices.
•Defining cloud adoption strategy and transformation roadmap forlarge scale
enterprise clients.
•Designing, architecting, implementing, and managing cloudinfrastructure on
Google Cloud Platform.
Requirements:
•5 years experience architecting with GCP Technologies.
•2 years hands-on experience on developing enterprise cloudapplications.
•Certification like Google Cloud Professional Cloud Architect wouldbe a plus.