Join our team as a Data Engineer, focusing on the design, development, and maintenance of robust data solutions. You will be instrumental in creating efficient data pipelines, ensuring high data quality, and implementing comprehensive ETL processes for seamless data migration and deployment across systems. This role demands close collaboration with various teams to optimize data handling and effectively meet organizational data objectives.

- Take ownership of tasks, evolving into a subject matter expert. - Actively contribute to and participate in team discussions. - Provide innovative solutions to project-related challenges. - Partner with cross-functional teams to grasp data needs and deliver scalable solutions. - Monitor and resolve issues within data pipelines to maintain continuous data flow and system performance. - Create clear documentation for data processes and workflows, promoting knowledge sharing. - Mentor and support junior team members, aiding their professional development.

- Minimum 3 years of experience is required, with a specific focus on AI Agents & Workflow Integration. - Demonstrated proficiency in designing and managing data pipelines and ETL processes. - Solid understanding of data architecture and data modeling principles. - Familiarity with cloud-based data platforms and integration tools is advantageous. - Ability to optimize data workflows for peak performance and scalability. - Experience in monitoring and debugging data processing systems is essential.