Senior Data DevOps Engineer

EPAM Systems; Brasil; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

Join a leading technology company as a Senior Data DevOps Engineer, focusing on optimizing data infrastructure. You will enhance CI/CD processes, deploy cloud infrastructures, and collaborate with global teams. Ideal for candidates with robust AWS and data processing experience, this role offers international projects and comprehensive benefits.

Serviços

International projects with top brands

Healthcare benefits

Upskilling and certification courses

Unlimited access to LinkedIn Learning

Paid time off and sick leave

Volunteer opportunities

Award-winning culture

Qualificações

• 3+ years of experience in Data DevOps.
• Proficiency in AWS and Apache Airflow.
• Skills in Kubernetes and Terraform.
• English communication at B2+ level or higher.

Responsabilidades

• Optimize workflows in Airflow, Spark, and Flink.
• Deploy cloud-native infrastructure leveraging AWS, Kubernetes, and Terraform.
• Maintain and troubleshoot data systems for high availability.
• Enhance CI/CD pipelines for smoother application deployment.

Conhecimentos

Amazon Web Services

Apache Airflow

Kubernetes

Terraform

English communication skills

Descrição da oferta de emprego

1 week ago Be among the first 25 applicants

Join our team as a Senior Data DevOps Engineer, where you will play an essential role in supporting the Ads Organization by ensuring the reliability and scalability of our data infrastructure.

You will focus on system enhancements, optimizing CI/CD pipelines, and collaborating with stakeholders to deliver reliable solutions in a data-centric environment. We welcome your application and invite you to be part of this impactful journey.

Responsibilities

• Optimize workflows in Airflow, Spark, and Flink for efficient data processing
• Deploy cloud-native infrastructure leveraging AWS, Kubernetes, and Terraform
• Work with stakeholders to define requirements and implement infrastructure updates
• Maintain and troubleshoot data systems to guarantee high availability and performance
• Enhance CI/CD pipelines for smoother application deployment
  
  
  

Requirements

• 3+ years of experience in Data DevOps
• Proficiency in Amazon Web Services
• Background in Apache Airflow
• Skills in Kubernetes
• Familiarity with Terraform
• English communication skills at a B2+ level or higher
  
  
  

Nice to have

• Understanding of Apache Flink
• Knowledge of Apache NiFi
• Background in Databricks
• Competency in Datadog
  
  
  

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

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering, Information Technology, and Business Development

• Industries

  Software Development, IT Services and IT Consulting, and Media and Telecommunications

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