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Senior Data DevOps Engineer

Remote in Argentina,
& 5 others
Data DevOps
& 7 others
Argentina

We are seeking a remote Senior Data DevOps Engineer to join our remote team of experts, working on a project that involves data pipeline, big data components, and cloud computing platforms.

As a Senior Data DevOps Engineer, you will play a critical role in developing and maintaining the infrastructure for data processing and management. You will work closely with cross-functional teams to ensure the reliability, scalability, and security of our data systems. If you have a passion for data and DevOps, and a track record of delivering high-quality solutions, we invite you to join us.

Responsibilities
  • Develop and maintain infrastructure as code for data processing and management
  • Deploy, operate, monitor, optimize, and troubleshoot large-scale big data infrastructure
  • Collaborate with cross-functional teams to ensure the reliability, scalability, and security of our data systems
  • Automate data processing and management workflows using Bash, Python, and other scripting languages
  • Design and implement data storage and retrieval solutions, including Hadoop, Hive, and Elasticsearch
  • Implement and maintain data pipeline solutions, including Kafka, Streamsets, and Airflow
  • Ensure compliance with security and regulatory requirements
Requirements
  • Minimum of 3 years of experience in Data DevOps, with a focus on infrastructure development and maintenance
  • Expertise in Bash, Python, and Unix, with hands-on experience in developing and maintaining infrastructure as code
  • Proficiency in cloud operations, including experience with AWS, Azure, or GCP
  • Experience in deploying, operating, monitoring, optimizing, and troubleshooting large-scale big data infrastructure
  • Proficiency in Terraform and Kubernetes, with a strong understanding of containerization and orchestration
  • Excellent analytical and problem-solving skills, with the ability to work independently and as part of a team
  • Fluent spoken and written English at an Upper-Intermediate level or higher
Nice to have
  • Experience with machine learning and AI technologies
  • Familiarity with data visualization tools, such as Tableau or Power BI
  • Experience with database technologies, such as MySQL or PostgreSQL
Benefits
  • 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