Data Engineer - AWS/Python

Job Description :Responsibilities :- Analyze and translate business requirements into scalable and resilient design.- Own parts of the application and continuously improve them in an agile environment.- Create high quality maintainable products and applications using best engineering practices.- Pair with other developers and share design philosophy and goals across the team.- Work in cross functional teams (DevOps, Data, UX, Testing etc.).- Build and manage fully automated build/test/deployment environments.- Ensure high availability and provide quick turnaround to production issues.- Contribute to the design of useful, usable, and desirable products in a team environment.- Adapt to new programming languages, methodologies, platforms, and frameworks to support the business needs.Qualifications :- Degree in computer science or a similar field.- Four or more years of experience in architecting, designing, developing, and implementing cloud solutions on AWS and/or Azure platforms.- Technologies : Python, Azure, AWS, MLFlow, Kubernetes, Terraform, AWS Sage maker, Lambda, Step Function.- Development experience with configuration management tools (Terraform, Ansible, CloudFormation).- Developing and maintaining continuous integration and continuous deployment pipelines Jenkins Groovy scripts.- Developing containerized solutions and orchestration (Docker, Kubernetes, ECS, ECR).- Experience of server less architecture, cloud computing, cloud native application and scalability etc.- Understanding of core cloud concepts like Infra as code, IaaS, PaaS and SaaS.- Relevant certification of Azure or AWS preferred.- Troubleshooting and analytical skills.- Knowledge of AI & ML technologies, as well as ML model management context.- Strong verbal & written communication : should be able to articulate concisely & clearly. (ref:hirist.tech)