We are seeking a Senior Data DevOps Engineer to enhance our data infrastructure and refine development processes. In this position, you will leverage your expertise in Data DevOps to optimize data workflows and deployment practices. If you excel at creating efficient systems and enjoy working in a collaborative environment, we invite you to become part of our team.
Responsibilities
Design and maintain data pipelines to ensure smooth data movement
Create and implement automation solutions to improve deployment processes
Work closely with data scientists to enhance data usability and accessibility
Monitor data systems to identify and address performance bottlenecks
Develop documentation for data workflows and operational procedures
Ensure adherence to industry standards for data security and compliance
Conduct regular evaluations of data systems to ensure quality and reliability
Participate in team discussions and provide updates on project milestones
Assist team members in understanding and using data tools effectively
Requirements
Minimum of 3 years of experience in Data DevOps or related roles
Proficiency with data pipeline tools such as Apache Kafka
Expertise in containerization technologies like Docker
Familiarity with cloud services like Amazon Web Services
Experience collaborating on cross-functional projects with diverse teams
Strong problem-solving abilities in technical environments
Excellent communication skills to support teamwork and collaboration
Advanced English proficiency (B2 level or higher) for documentation and communication
Nice to have
Experience with monitoring tools like Prometheus to track system performance
Knowledge of data visualization tools such as Tableau
Familiarity with Agile methodologies for project management
Ability to succeed in fast-paced, high-pressure environments
Strong interpersonal skills to build and foster team collaboration