Python+AWS Data Engineer

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.