Python+AWS Data Engineer

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Job Profile - Senior Engineer Python + AWS cloud

Exp - 4-7 yrs

Job Location – Bangalore

We’re looking for a top-notch Software Engineer who always sweats the small stuff and cares about

impeccable code. If you always strive towards a sustainable, scalable and secure code for every

single application you develop, while keeping in mind the customer needs, then you are what we

are looking for. You’ll get the chance to work with experienced engineers across our enterprise with

a chance to move across varying automation technologies in the future. As Python developers in AI

team, you will have the opportunity to work on multiple complex assignments like physics based

complex models, lambda functions, automation pipelines, object-oriented programming, etc.

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.
  
  
  

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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