Google Cloud Platform Architect
Posted Today by 1758010824
Negotiable
Outside
Remote
USA
Summary: The Google Cloud Platform Architect role is a remote contract position requiring extensive experience in cloud engineering, particularly with Google Cloud technologies. The ideal candidate will possess strong skills in data warehousing and lake implementation, along with proficiency in various programming and scripting languages. The position demands a deep understanding of cloud infrastructure, data modeling, and the ability to troubleshoot complex technical issues. Certifications in Google Cloud are essential for this role.
Key Responsibilities:
- Experience with private and public Cloud Engineering considerations and limitations in 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 modeling, 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.
Key Skills:
- 15+ years of 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 modeling, database design, and the data warehousing ecosystem.
- Excellent analytical and problem-solving skills.
- Certifications in Google Cloud technologies.
- Experience in Agile environments.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
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
SUBMISSION FORMAT
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