Google Cloud Platform Architect

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required

Skills

BigQuery
Dataflow
Data Fusion
DW
Data Lake
Google Cloud Platform
Kubernetes
CI/CD
Google Cloud
AWS
Azure
OpenStack
Linux
Unix
Python

Job Details

Google Cloud Platform Architect

  • Location: REMOTE
  • # of Positions: 3
  • Start: ASAP
  • Other Details: on-site / no telecommuting
  • Eligibility: Open
  • Client Name / Domain: BFSI
  • Bill Rate: $??
  • Type: Contract / C2C
  • Contract Duration: 12+ mos Contract
  • Experience: 15+ years
  • Skills: BigQuery, Dataflow, Data Fusion, DW, Data Lake, Google Cloud Platform, Kubernetes, CI/CD, Google Cloud, AWS, Azure, OpenStack, Linux, Unix, Python

Responsibilities, Skills, and Experience:

  • Experience with private and public Cloud Engineering considerations and limitations in the areas of virtualization and global infrastructure, distributed systems, load balancing and networking, massive data storage, Hadoop, MapReduce, and security.
  • BigQuery,Dataflow, Data Fusion
  • 15 years experience in Data warehouse and Data lake implementation
  • 4 years of experience in Google Cloud Platform (especially Big Query).
  • Proficiency in Linux/Unix shell scripting and SQL.
  • Proficiency in Python
  • Knowledge of data Modelling, database design, and the data warehousing ecosystem.
  • Ability to troubleshoot and solve complex technical problems.
  • Excellent analytical and problem solving skills.
  • Knowledge of working in Agile environments.
  • Certifications (Must haves)
    • Google Cloud Certified - Professional Cloud Architect
    • Google Cloud Certified Professional Machine Learning
    • Google Cloud Certified Associate Cloud Engineer
    • Google Cloud Certified Cloud Digital Leader
    • Creating Infrastructure on Google Cloud with Terraform
    • Build and Deploy Machine Learning Solutions on Vertex AI
    • Build and Optimize Data Warehouses with Big Query
    • Machine Learning & AI Foundations: Linear Regression
    • Machine Learning and AI: Advanced Decision Trees

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