Data Analytics AWS

As a skilled professional in the field of cloud computing and data engineering, your responsibilities will include: - Managing data assets - Developing ETL pipelines - Exploring machine learning capabilities Your expertise in technologies such as Git, Kubernetes, Docker, and Helm will be essential in ensuring the smooth functioning of cloud infrastructure on platforms like AWS and Azure. Your role will involve: - Evaluating and analyzing data using tools like AWS QuickSight - Deploying machine learning models through AWS MLOps Proficiency in AWS services such as Glue, QuickSight, SageMaker, Lambda, and Step Functions will be crucial for success in this position. Additionally, you should have a basic understanding of machine learning concepts and MLOps practices. Experience with CI/CD pipelines, DevOps practices, and Infrastructure-as-Code tools like Terraform will be advantageous in this role. A strong grasp of cloud security principles and best practices is essential, along with knowledge of network architecture including VPNs, firewalls, and load balancers. Your expertise in cloud infrastructure management, data engineering, and machine learning deployment will play a key role in driving success in this position. As a skilled professional in the field of cloud computing and data engineering, your responsibilities will include: - Managing data assets - Developing ETL pipelines - Exploring machine learning capabilities Your expertise in technologies such as Git, Kubernetes, Docker, and Helm will be essential in ensuring the smooth functioning of cloud infrastructure on platforms like AWS and Azure. Your role will involve: - Evaluating and analyzing data using tools like AWS QuickSight - Deploying machine learning models through AWS MLOps Proficiency in AWS services such as Glue, QuickSight, SageMaker, Lambda, and Step Functions will be crucial for success in this position. Additionally, you should have a basic understanding of machine learning concepts and MLOps practices. Experience with CI/CD pipelines, DevOps practices, and Infrastructure-as-Code tools like Terraform will be advantageous in this role. A strong grasp of cloud security principles and best practices is essential, along with knowledge of network architecture including VPNs, firewalls, and load balancers. Your expertise in cloud infrastructure management, data engineering, and machine learning deployment will play a key role in driving success in this position.