Informations de base

Ref Number

Req_00084598

Dernier jour pour postuler

22-jan-2023

Site principal

NSEZ

Pays

Inde

Types d'emploi

Digital Solutions

Work Style

Hybrid

Description et exigences

  • Advising Customers on GCP optimized architectures for data management, help develop roadmaps for on-perm 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 Client 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 have hand on experience on following services:

o   Google BigQuery
o   Google Storage
o   Google Dataflow
o   DataProc
o   Python
o   PubSub
o   Airflow/Composer
o   CloudSQL
o   Cloud Build
o   Terraform

  • Data extraction from relational sources using Sqoop and Data transformation using data frames using Python.

  • Processed data loading in Big query from Google cloud storage using GCP Data proc. Scheduling end to end using GCP cloud composer service. Maintaining BQ datasets for reporting requirements.

Description supplémentaire du poste

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 Client 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 have hand on experience on following services: o Google BigQuery o Google Storage o Google Dataflow o DataProc o Python o PubSub o Airflow/Composer o CloudSQL o Cloud Build o Terraform Data extraction from relational source using Sqoop and Data transformation using dataframes 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