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Senior Data DevOps Engineer

Remote in Colombia,
& 6 others
Data DevOps
& 8 others
Colombia

We are seeking a highly skilled remote Senior Data DevOps Engineer to join our team, working on a cutting-edge project that leverages data to drive business insights and innovation.

In this position, you will work closely with cross-functional teams to design, build, and maintain data pipelines and ETL/ELT solutions, enabling the seamless integration of data across various systems. You will also play a key role in managing and optimizing our cloud infrastructure, utilizing Amazon Web Services and Databricks to ensure high levels of performance, security, and reliability.

Responsibilities
  • Design, build, and maintain data pipelines and ETL/ELT solutions, ensuring the seamless integration of data across various systems
  • Manage and optimize cloud infrastructure, utilizing AWS and Databricks to ensure high levels of performance, security, and reliability
  • Collaborate with cross-functional teams to identify and resolve issues related to data pipelines and infrastructure, ensuring smooth operations
  • Develop and maintain monitoring and alerting systems for data pipelines and infrastructure, ensuring timely identification and resolution of issues
  • Automate deployment and testing processes, utilizing CI/CD pipelines and infrastructure as code (IaC) tools
  • Contribute to the development of best practices and standards for data engineering and DevOps
  • Provide guidance and mentorship to junior engineers on the team
Requirements
  • A minimum of 3 years of experience in DevOps, with a focus on data engineering and data pipelines
  • Expertise in designing and implementing ETL/ELT solutions, with practical experience in tools like Apache Nifi, Apache Airflow, or similar
  • Strong hands-on experience in Amazon Web Services (AWS), including EC2, S3, RDS, Lambda, and CloudFormation
  • Proficiency in Databricks and Spark
  • Experience with containerization technologies such as Docker and Kubernetes, and their orchestration tools
  • Strong knowledge of CI/CD pipelines and tools such as Jenkins, GitLab, or CircleCI
  • Experience in infrastructure as code (IaC) tools such as Terraform, CloudFormation, or Ansible
  • Excellent communication and collaboration skills, able to work effectively with cross-functional teams
  • Fluent spoken and written English at an Upper-intermediate level or higher (B2+)
Nice to have
  • Experience with database technologies such as MySQL, PostgreSQL, or Oracle
  • Knowledge of Big Data technologies such as Hadoop, Hive, or Presto
  • Experience with data visualization tools such as Tableau or Power BI
  • Familiarity with machine learning and data science concepts and tools
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