Advising Customer on GCP optimized architectures for data management, help develop roadmaps for on-prem to Cloud migration effort
Participate in crafting customer-facing proposal responses along with Costing based on requirements and other NFRs like scalability, availability, DR, and resiliency.
Discuss requirements with Solution Architect and Product Owner.
Propose Solution Architecture and High-Level Design based on Google Cloud-Native Services.
Provide End to End Solution Design based on requirements.
Provide High-level Design and other design documents
Understanding business drivers and emerging computing trends
Experience in data warehouse/data engineering with strong hands-on experience in ETL
Should have good hands-on network infrastructure and Security from GCP standpoint.
Candidate should know the following services and have worked on hand-on:
Google BigQuery
Google Storage
Google Dataflow
DataProc
Python
PubSub
Airflow/Composer
Kubernetes
CloudSQL
Cloud Build
Terraform
Data extraction from relational source using Sqoop and Data transformation using data frames using Python
Processed data loading in Bigquery from Google cloud storage using GCP Dataproc. Scheduling end to end using GCP cloud composer service. Maintaining BQ datasets for reporting requirements
