Azure DB - SQL, Cosmos DB (Azure Database)

  • Detroit, MI
  • Posted 60+ days ago | Updated 17 days ago

Overview

On Site
$0 - $0
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

Azure Database
Azure Cloud Solution Provider
Azure CSP
Microsoft cloud services
Office 365
Dynamics CRM Online
service portal
API
Azure Cosmos DB
Azure SQL
DevOps practices
Database Architecture
Terraform
Ansible
Packer
Open Policy Agent
Python
Bash
PowerShell
Identity
Firewalls
Certificate
Cloud Migration
computing
Storage
Networking
monitoring
logging
monitoring data
Data Migration
Secrets
microservices
containerization
Serverless
IaC templates
CI/CD
Data Security

Job Details

Role: Azure / DB - SQL, Cosmos DB (Azure Database)

Location: Detroit, Michigan, 48226

Duration: Long-Term

 

Azure / DB - SQL, Cosmos DB Job Description:

  • Comprehension of core concepts of CSP (Azure)
  • knowledge of Terraform, Ansible, Packer and Open Policy Agent
  • Basic OS scripting skills (e.g., Python, Bash, PowerShell) for automation
  • Foundational knowledge of shared services (e.g., Identity, Firewalls, Certificates, Secrets)
  • Introductory understanding of microservices, containerization, and serverless concepts
  • Set up proficiency with monitoring tools for resource tracking and a grasp of database types
  • On-premise to cloud application migration experience
  • Data migration experience, data security, and data redundancy for cloud applications
  • Proficient in employing services like computing, storage, and networking
  • Expertise in configuring and managing monitoring and logging solutions
  • Proficient in selecting and configuring cloud database services (e.g., Azure Cosmos DB, Azure SQL, etc.)
  • Crafting reusable and modular IaC templates for complex architectures, automated CI/CD pipelines, and championing DevOps practices
  • Developing and enforcing comprehensive security policies and regular security audits.
  • Advanced analytics, anomaly detection, and monitoring data for proactive optimization
  • Designing complex, scalable, and high-performance database architectures.
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