Senior Data Platform Engineer

EPAM Systems; Brasil; Teletrabalho; BRL 120.000 - 150.000; Tempo integral

Resumo da oferta

A leading company is seeking a Senior Data DevOps Engineer to join their remote team. This role involves designing and maintaining infrastructure for data analytics and machine learning in the healthcare sector. Ideal candidates will have extensive experience in Data DevOps, CI/CD, and cloud technologies. Join a diverse team and work on impactful projects that improve patient outcomes. The company offers competitive benefits, including healthcare and professional development opportunities.

Serviços

Healthcare benefits

Employee financial programs

Paid time off

Upskilling and certification courses

Unlimited access to LinkedIn Learning

Global career opportunities

Volunteer opportunities

Award-winning culture

Qualificações

• Minimum 3 years experience in Data DevOps.
• Hands-on experience with CI/CD, Kubernetes, and Docker.

Responsabilidades

• Design, build, and maintain data analytics and ML pipelines.
• Collaborate with teams to ensure data infrastructure is secure.

Conhecimentos

Communication

Problem Solving

Ferramentas

Kubernetes

Docker

AWS

Terraform

Ansible

Chef

Puppet

Descrição da oferta de emprego

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We are seeking a talented Senior Data DevOps Engineer to join our remote team, working on a groundbreaking project in the healthcare industry that leverages advanced data analytics and machine learning to improve patient outcomes.

In this role, you will play a critical role in designing, building, and maintaining the infrastructure and tools necessary to support our data analytics and machine learning pipelines. You will work closely with cross-functional teams to ensure that our data pipelines are scalable, reliable, and efficient, and that our data scientists and machine learning engineers have the resources they need to succeed.

Responsibilities

• Design, build, and maintain the infrastructure and tools necessary to support our data analytics and machine learning pipelines
• Collaborate with data scientists and machine learning engineers to ensure that our data pipelines are scalable, reliable, and efficient
• Work with cross-functional teams to ensure that our data infrastructure is secure and compliant with relevant regulations and best practices
• Develop and maintain CI/CD pipelines for our data analytics and machine learning pipelines
• Monitor and troubleshoot issues with our data pipelines and infrastructure
• Continuously evaluate and improve our data infrastructure and tools to ensure that we are using the latest and most effective technologies

Requirements

• A minimum of 3 years of experience in Data DevOps, including experience with CI/CD, Kubernetes, and Docker
• Hands-on experience with Amazon Web Services, Linux, and Terraform
• Proven experience designing and building scalable, reliable, and efficient data pipelines, including experience with data ingestion, transformation, and storage
• Strong understanding of data analytics and machine learning concepts and how they can be applied to real-world problems
• Experience with infrastructure automation tools such as Ansible, Chef, or Puppet
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams
• Strong problem-solving skills and the ability to think critically about complex technical problems
• Fluent spoken and written English at an Upper-Intermediate level or higher (B2+)

Nice to have

• Experience with other cloud platforms such as Google Cloud Platform or Microsoft Azure
• Experience with other DevOps tools such as Jenkins or GitLab
• Experience with other data analytics and machine learning tools and frameworks such as Apache Spark or TensorFlow

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering, Information Technology, and Business Development

Industries

• Software Development, IT Services and IT Consulting, and Pharmaceutical Manufacturing

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