Lead Data DevOps Engineer: Pipelines, Automation & Cloud

EPAM Systems; Argentina; Remote; ARS 1,500,000 - 3,500,000; Full time

Benefits offered by this job

Connectivity Bonus

Medicina Prepaga

Paternity Leave

Discounts card

English Training

Training Program

Marriage bonus

Referral Program

External Agreements and Discounts

Vacations: 14 days

Job summary

EPAM Systems, Inc. in Argentina seeks a Lead Data DevOps Engineer to strengthen our data infrastructure and optimize deployment workflows.

You will design scalable data pipelines, implement automation, and collaborate with data scientists to improve data accessibility. You will monitor systems for reliability, update documentation, ensure security and regulatory compliance, and guide team members in data tool usage.

Qualifications

• 5+ years of experience in Data DevOps or related field.
• Experience with data pipelines and deployment automation.
• Strong collaboration and communication skills in an international team.
• Proficiency in English (B2+).

Responsibilities

• Design and maintain data pipelines to ensure smooth data flow.
• Implement automation to enhance deployment processes.
• Collaborate with data scientists to improve data accessibility.
• Monitor data systems for performance and reliability.
• Update documentation for workflows and procedures.
• Ensure compliance with data security and regulatory standards.
• Periodically evaluate data systems for quality and reliability.
• Participate in team discussions to share progress and align on goals.
• Provide guidance on data tools and methodologies.

Skills

Data DevOps

Cross-functional

Problem solving

English proficiency

Tools

Apache Kafka

Docker

Cloud services

Prometheus

Tableau

Job description

EPAM Systems, Inc. in Argentina seeks a Lead Data DevOps Engineer to strengthen our data infrastructure and optimize deployment workflows.

You will design scalable data pipelines, implement automation, and collaborate with data scientists to improve data accessibility. You will monitor systems for reliability, update documentation, ensure security and regulatory compliance, and guide team members in data tool usage.