Required Skills: Git, Kubernetes, Docker, Helm evaluation and analysis using AWS QuickSight. Development of ETL pipelines and managing data assets. Machine learning explorations and deploying models using AWS MLOps. Proficiency in building and managing cloud infrastructure such as AWS, Azure Expertise in AWS Glue, QuickSight, and other AWS services such as SageMaker, Lambda, and Step Functions. Basic understanding of machine learning and MLOps. Familiarity with CI/CD pipelines and DevOps practices. Experience with Infrastructure-as-Code tools, such as Terraform Strong understanding of cloud security principles and best practices. network architecture and design, including VPNs, firewalls, and load balancers. ,
Employement Category:
Employement Type: Full time Industry: IT Services & Consulting Role Category: Not Specified Functional Area: Not Specified Role/Responsibilies: Data Analytics AWS Job in Tata Technologies at
Contact Details:
Company: Tata Technologies Location(s): Other Maharashtra