We are seeking a Lead Data DevOps Engineer to enhance our data infrastructure and optimize development processes. In this role, you will leverage your expertise to improve workflows and refine deployment systems. If you are passionate about designing efficient solutions and enjoy working in a collaborative environment, we invite you to join our team.

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 operational procedures
Ensure compliance with industry standards for data security and regulatory requirements
Conduct regular evaluations of data systems to ensure reliability and quality
Participate in team discussions to share progress and contribute to project goals
Provide guidance and support to team members on the use of data tools and methodologies

Requirements





Minimum 5 years of experience in Data DevOps or a related discipline
Proficiency in data pipeline tools such as Apache Kafka, containerization technologies like Docker, and cloud services
Demonstrated experience working on cross-functional teams and collaborative projects
Strong problem-solving abilities in technical and complex environments
Effective communication skills to encourage teamwork and knowledge sharing
Advanced English proficiency (B2 level or higher) for documentation and collaboration

Nice to have

Familiarity with monitoring tools like Prometheus for tracking system performance
Knowledge of data visualization platforms such as Tableau
Familiarity with Agile methodologies for managing projects
Ability to perform well in fast-paced and high-pressure environments
Strong interpersonal skills to foster collaboration and teamwork

We offer

Connectivity Bonus (25,000 ARS are paid with a salary

📌 Lead Data DevOps Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina