This role focuses on designing, developing, and maintaining robust data solutions for data generation, collection, and processing. Key responsibilities include building efficient data pipelines, ensuring high data quality, and implementing ETL processes for seamless data migration and deployment across systems. The position demands a proactive approach to data management and a commitment to enabling reliable and scalable data operations.

- Independently perform tasks and develop expertise in data engineering. - Actively contribute to team discussions and problem-solving. - Collaborate with cross-functional teams to gather data requirements and deliver effective solutions. - Monitor and optimize data workflows for enhanced performance and reliability. - Document data processes and maintain clear communication on architecture and pipeline status. - Support and mentor junior team members, sharing knowledge and technical guidance.

- Must possess proficiency in Reltio. - Proven experience in designing and implementing data pipelines and ETL processes. - Strong understanding of data integration and migration techniques. - Ability to ensure data quality and consistency across multiple systems. - Familiarity with data storage solutions and data processing frameworks. - Capability to troubleshoot and resolve data-related issues efficiently. - Minimum 3 years of relevant experience is required. - A 15-year full-time education is mandatory.