Senior Data Platform Engineer

EPAM Systems; Brasil; Teletrabalho; BRL 80.000 - 100.000; Tempo integral

Resumo da oferta

A leading company is seeking a Senior Data DevOps Engineer to join their remote team. You will design and maintain infrastructure for data-driven applications, collaborating with cross-functional teams. The role requires expertise in CI/CD, Kubernetes, AWS, and scripting languages. This position offers international projects, healthcare benefits, and opportunities for professional growth.

Serviços

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling and reskilling courses

Unlimited access to LinkedIn Learning

Global career opportunities

Volunteer and community involvement

Award-winning culture

Qualificações

• Minimum 3 years experience in Data DevOps.
• In-depth knowledge of CI/CD pipelines and Helm.
• Strong experience with Kubernetes, Docker, AWS, Linux, and Terraform.

Responsabilidades

• Design, implement, and maintain infrastructure for data-driven applications.
• Build and manage CI/CD pipelines using tools like Jenkins.
• Deploy and manage Kubernetes clusters for containerized applications.

Conhecimentos

Kubernetes

Docker

AWS

Terraform

Python

Bash

Linux

CI/CD

Data Analytics

Ferramentas

Elastic Stack

Apache Spark

Kafka

Flink

TensorFlow

PyTorch

Scikit-learn

Hadoop

Hive

Presto

Tableau

Power BI

Grafana

Descrição da oferta de emprego

1 week ago Be among the first 25 applicants

We are seeking a highly skilled Senior Data DevOps Engineer to join our remote team, working on a cutting-edge project in the financial services industry.

In this role, you will be responsible for designing, implementing, and maintaining the infrastructure and tools necessary for the development, testing, and deployment of data-driven applications. You will work closely with cross-functional teams to ensure the seamless integration of data pipelines, databases, and data analytics tools. If you are passionate about DevOps and data engineering, we invite you to apply for this exciting opportunity.

Responsibilities

• Design, implement, and maintain the infrastructure required for the development, testing, and deployment of data-driven applications
• Build, configure, and manage CI/CD pipelines using tools such as Jenkins, GitLab, or CircleCI
• Deploy and manage Kubernetes clusters for containerized applications and microservices
• Develop and maintain Docker images for data processing and analytics tools
• Configure and manage Amazon Web Services resources, including EC2 instances, S3 buckets, and RDS databases
• Automate infrastructure deployment and management using Terraform and other infrastructure-as-code tools
• Monitor and troubleshoot infrastructure issues, ensuring high availability and performance of data pipelines and databases
• Collaborate with data scientists and analysts to ensure seamless integration of data pipelines and analytics tools
  
  
  

Requirements

• A minimum of 3 years of experience in Data DevOps, demonstrating your expertise in designing and implementing data pipelines, databases, and data analytics tools
• In-depth knowledge of CI/CD pipelines and Helm
• Strong experience with Kubernetes, Docker, Amazon Web Services, Linux, and Terraform
• Familiarity with Elastic Stack
• Experience with distributed data processing frameworks such as Apache Spark, Kafka, or Flink
• Expertise in scripting languages such as Python, Bash, or PowerShell, allowing you to automate tasks and manage infrastructure as code
• Strong interpersonal and communication skills, enabling you to collaborate effectively with cross-functional teams and stakeholders
• Ability to work independently and manage multiple projects simultaneously, while maintaining a high level of performance
• Fluent spoken and written English at an Upper-intermediate level or higher (B2+)
  
  
  

Nice to have

• Experience with data governance and security practices, including data encryption, access control, and compliance requirements
• Knowledge of machine learning frameworks and tools, including TensorFlow, PyTorch, or Scikit-learn
• Experience with big data technologies such as Hadoop, Hive, or Presto
• Familiarity with data visualization tools such as Tableau, Power BI, or Grafana
  
  
  

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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