Responsibilities

• Develop and maintain data pipelines for efficient data flow.
• Implement automation tools for deployment processes.
• Collaborate with data scientists to optimize data usage.
• Monitor and troubleshoot data systems for performance issues.
• Create documentation for data processes and workflows.
• Ensure data security and compliance with industry standards.
• Conduct regular audits of data systems for quality assurance.
• Participate in team meetings to discuss project progress.
• Assist in training team members on data tools and practices.

Requirements

• 3+ years of experience in Data DevOps.
• Proficiency in data pipeline tools such as Apache Kafka.
• Knowledge of containerization technologies like Docker.
• Familiarity with cloud services like Amazon Web Services.
• Experience in cross-functional project participation.
• Excellent problem-solving skills in technical environments.
• Strong communication skills for effective collaboration.
• Advanced English proficiency (B2 level or higher) for technical documentation.

Nice to have

• Experience with monitoring tools like Prometheus.
• Familiarity with data visualization tools such as Tableau.
• Knowledge of Agile methodologies for project management.
• Ability to work under pressure in fast-paced environments.
• Strong interpersonal skills to foster team collaboration.

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.