Lead Data DevOps Engineer

EPAM Systems; Brasil; Presencial; BRL 260 000 - 460 000; Tempo integral

Resumo da oferta

EPAM Systems is seeking a Lead Data DevOps Engineer to enhance data infrastructure and optimize deployment processes in Brazil. You will design data pipelines, automate deployments, and collaborate with data scientists to improve data accessibility and system reliability.

The role requires 5+ years in Data DevOps, expertise with Kafka, Docker, and cloud services, and strong English communication. You will help maintain performance and security while documenting workflows and guiding the team.

Qualificações

• 5+ years of experience in Data DevOps or related discipline.
• Experience with Kafka, Docker and cloud platforms is essential.
• Ability to work in cross-functional teams and communicate effectively.
• Strong problem-solving skills in complex technical environments.
• Excellent written and verbal English for documentation and collaboration.

Responsabilidades

• Design and maintain data pipelines to ensure smooth data flow.
• Implement automation to enhance deployment processes.
• Collaborate with data scientists to improve data accessibility and usability.
• Monitor data systems and resolve performance challenges.
• Document workflows and operational procedures.
• Ensure compliance with data security and regulatory requirements.
• Evaluate data systems for reliability and quality on a regular basis.
• Participate in team discussions to share progress and align on goals.
• Provide guidance to team members on data tools and methodologies.

Conhecimentos

Data DevOps

Cross-functional collaboration

Problem solving

Ferramentas

Apache Kafka

Docker

Cloud services

Prometheus

Tableau

Descrição da oferta de emprego

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

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.