We are seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines and architectures. This role involves working with large, complex datasets to support analytics, reporting, and machine learning initiatives across cross-functional teams. The ideal candidate is self-directed, experienced in cloud platforms and big data technologies, and passionate about improving data systems to enable next-generation solutions.

• Design, develop, and maintain robust ETL processes using integration tools and cloud platforms (GCP, AWS, Azure, Snowflake).
• Manage and assemble large datasets to meet business requirements.
• Automate data processes and optimize the infrastructure for scalability and performance.
• Develop and manage data relationships and harmonization across multiple channels.
• Implement and enforce data quality assurance and governance best practices.
• Collaborate closely with analytics and data science teams to understand data needs and priorities.
• Ensure continuous data synchronization and consistency across platforms and partners.
• Participate in code reviews and ensure adherence to coding standards and best practices.
• Provide training and support for staff on using data dashboards and understanding data flows.

• Strong ability to collaborate within teams and with stakeholders.
• Willingness to learn the business logic behind marketing and advertising data.
• Excellent problem-solving and troubleshooting skills, with the ability to work in a dynamic environment.