Lead Data DevOps Engineer

EPAM Systems; Brasil; Presencial; BRL 220 000 - 320 000; Tempo integral

Resumo da oferta

EPAM Systems is seeking a Lead Data DevOps Engineer to enhance data infrastructure and optimize deployment processes. You will design data pipelines, automate deployments, collaborate with data scientists, monitor systems, and ensure security and regulatory compliance.

With 5+ years in the field, you will work across teams, applying strong problem-solving skills and advanced English proficiency to deliver scalable data solutions in a collaborative environment.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Cross-functional teamwork

Problem-solving

Effective communication

Advanced English (B2+)

Ferramentas

Apache Kafka

Docker

Cloud services

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.