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We are looking for a Senior Data DevOps Engineer to improve our data infrastructure and streamline development operations. In this role, you will apply your expertise in Data DevOps to enhance workflows and optimize deployment processes. If you are passionate about building efficient systems and thrive in a collaborative setting, we encourage you to join our team.
Responsibilities
- Develop and manage data pipelines to ensure efficient data flow
- Implement automation tools to enhance deployment workflows
- Collaborate with data scientists to improve data accessibility and functionality
- Monitor data systems to detect and resolve performance issues
- Create and maintain documentation for data workflows and operational processes
- Ensure compliance with data security standards and regulatory requirements
- Perform routine quality assessments to maintain system reliability
- Participate in team discussions and provide updates on project progress
- Support team members by sharing expertise in data tools and best practices
Requirements
- At least 3 years of experience in Data DevOps or a related field
- Strong knowledge of data pipeline technologies such as Apache Kafka
- Expertise in containerization platforms like Docker
- Familiarity with cloud platforms, including Amazon Web Services
- Proven experience working on cross-functional teams and collaborative projects
- Strong problem-solving skills in complex technical environments
- Effective communication skills to foster teamwork and collaboration
- Advanced English proficiency (B2 level or higher) for technical documentation and communication
Nice to have
- Experience with system monitoring tools like Prometheus for performance tracking
- Knowledge of data visualization platforms such as Tableau
- Familiarity with Agile project management practices
- Ability to excel in dynamic, high-pressure work environments
- Strong interpersonal skills to promote effective team collaboration