Brings prior experience and hands on knowledge to implement Cloud Data Lake with below capabilities for AWS, Azure BI, Google or Snowflake.
Data modeling
Data integration
Data security
Performance optimization
Data governance
Collaboration
Technology selection
Data strategy
Data migration
Continuous improvement
Required skills -
Strong technical skills in cloud computing, including experience with public and private cloud platforms such as AWS, Azure, and Google Cloud.
Deep understanding of cloud computing principles, including virtualization, containerization, microservices, and serverless computing.
Experience with cloud infrastructure as code tools such as Terraform, CloudFormation, and Azure Resource Manager.
Strong expertise in cloud security, including identity and access management, encryption, network security, and compliance.
Excellent problem-solving, analytical, and communication skills.
Ability to work independently and collaboratively in a fast-paced, agile environment.
Required qualifications -
Bachelor's or master's degree in computer science, Information Technology, or related field.
At least 5 years of experience in cloud architecture design and implementation.
Relevant cloud certifications such as AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, or Google Certified Professional Cloud Architect.