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

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

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