Senior DataOps Engineer

Overview :

Who are we looking for?

The ideal candidate has an emphasis on data infrastructure to help operationalize and maintain machine learning models and pipelines. The candidate will love automating via Infrastructure as code (IaC), be comfortable with AWS cloud services, and can design and implement end-to-end data and analytic infrastructure solutions.

As an offshore Senior DataOps Engineer , this candidate has the opportunity to innovate the way we do healthcare analytics and data. The candidate will be working closely with the Advanced Analytic and Data Engineering team to leverage the best technologies to establish a DataOps culture. Our goal is to enable fault tolerant, highly available, and accurate data ecosystem for advanced analytic projects.

Qualifications :

• Minimum 3 years of professional experience working with analytics, databases, and data systems
• Have a strong knowledge of IaC automation principles
• Have expertise with Terraform and ideally a good knowledge of Ansible
• Have experience with scripting and programming languages – shell scripting (Not Mandatory) and Python (Required)
• Have a good understanding of CI / CD and test automation
• Have experience building docker containers, using version control and git in collaborative environments
• Collaborative and pragmatic with great communication skills
• Enthusiast, keen to pick up new tools and technologies and work with emerging technology

Preferred :

Professional experience architecting / operating Data / DevOps solutions built on Azure

What are my responsibilities?

How to apply :

Please share your updated resume to