Data DevOps Lead: Automate Pipelines & Scale Data

EPAM Systems; Mexico; On-site; PHP 3,321,000 - 4,797,000; Full time

Benefits offered by this job

Career growth opportunities

Access to LinkedIn learning solutions

English classes with certified teacher

Employee Stock Purchase Plan

13% employee savings fund

Job summary

EPAM Systems is seeking a Lead Data DevOps Engineer to enhance our data infrastructure and optimize deployment processes. You will design and maintain data pipelines, collaborate with data scientists, and ensure secure, compliant operations.

You will join a cross-functional team in a fast-paced environment, apply advanced English to documentation, and drive automation and best practices across development workflows.

Qualifications

• 5+ years of experience in Data DevOps or related field.
• Proficiency with data pipeline tools such as Apache Kafka, Docker, and cloud services.
• Experience working in cross-functional teams and collaborative projects.
• Strong problem-solving abilities in technical environments.
• Effective English communication for documentation and collaboration.

Responsibilities

• Design and maintain data pipelines to ensure smooth and effective data flow.
• Implement automation solutions to enhance deployment processes.
• Collaborate with data scientists to increase data accessibility and usability.
• Monitor data systems to identify and resolve performance challenges.
• Develop and update documentation for workflows and procedures.
• Ensure compliance with data security and regulatory requirements.
• Conduct regular evaluations of data systems for reliability and quality.
• Participate in team discussions to share progress and contribute to project goals.
• Provide guidance and support to team members on data tools and methodologies.

Skills

Data DevOps

Apache Kafka

Docker

Cloud services

Cross-functional teamwork

Problem solving

English (B2+)

Tools

Prometheus

Tableau

Agile methodologies

Job description

EPAM Systems is seeking a Lead Data DevOps Engineer to enhance our data infrastructure and optimize deployment processes. You will design and maintain data pipelines, collaborate with data scientists, and ensure secure, compliant operations.

You will join a cross-functional team in a fast-paced environment, apply advanced English to documentation, and drive automation and best practices across development workflows.