Job Description

:Data Analytics AWS (1 FTE)"xe2x80xa2Git, Kubernetes, Docker, Helmxe2x80xa2evaluation and analysis using AWS QuickSight.xe2x80xa2Development of ETL pip elines and managing data assets.xe2x80xa2Machine learning explorations and deploying models using AWS MLOps.xe2x80xa2Proficiency in building and managing cloud infrastructure such as AWS, Azurexe2x80xa2Expertise in AWS Glue, QuickSight, and other AWS services such as SageMaker, Lam bda, and Step Functions.xe2x80xa2Basic understanding of machine learning and MLOps.xe2x80xa2Familiarity with CI/CD pipelines and DevOps practice s.xe2x80xa2Experience with Infrastructure-as-Code tools, such as Terraformxe2x80xa2Strong understanding of cloud security principles and best pr actices.xe2x80xa2network architecture and design, including VPNs, firewalls, and load balancers"About Company:#ComeJoinUs in #EngineeringABetterWorld. We're a global product engineering and digital services company focused on fulfilling our mission of helping the world drive, fly, build, and farm by enabling our customers to realize better products and deliver better experiences. Wexe2x80x99re the strategic engineering partner businesses turn to when they aspire to be better. Manufacturing companies rely on us to enable them to conceptualize, develop and realize better products that are safer, cleaner, and improve the quality of life for all the stakeholders, helping us achieve our vision of #EngineeringABetterWorld. We're inspiring a new generation of engineers who, by embracing the opportunities that exist at the convergence of digital technology & traditional engineering, are developing better products. We're redefining what the world understands by engineering and spreading the influence and impact of engineering as humanity's best way of addressing its most important challenges and opportunities.

Tata Technologies