Build and maintain data pipelines to ensure seamless data flow

Develop and implement automation tools to enhance deployment efficiency

Collaborate with data scientists to improve data accessibility and usage

Monitor data systems to identify and resolve performance issues

Document data workflows and processes for transparency and consistency

Ensure compliance with industry standards for data security and integrity

Perform regular quality checks on data systems to maintain high standards

Contribute to project discussions and provide updates on progress

Support team members by sharing knowledge of data tools and best practices

At least 3 years of experience in Data DevOps or a similar role

Expertise in using data pipeline tools such as Apache Kafka

Proficiency with containerization technologies like Docker

Familiarity with cloud platforms such as Amazon Web Services

Experience working on cross-functional projects and collaborating with diverse teams

Strong technical problem-solving skills in complex environments

Effective communication skills to facilitate teamwork and collaboration

Advanced English proficiency (B2 level or above) for documentation and discussions

Knowledge of monitoring tools like Prometheus for system performance tracking

Experience with data visualization platforms such as Tableau

Understanding of Agile project management methodologies

Ability to perform effectively in high-pressure, fast-paced settings

Strong interpersonal skills to promote teamwork and cohesion