Lead Data DevOps Engineer

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