Data Engineer

• Transform raw data into clean, structured, and usable formats
• Deploy and automate data transformation pipelines using scalable tools and frameworks
• Design, build, and maintain scalable data ETL pipelines to integrate data from multiple sources
• Configuring data sources, destinations, and event tracking mechanisms between Data Warehouse, ABM, Web Personalization, and MAP tools to ensure accurate customer data integration
• Develop and implement data normalization processes to ensure consistency, accuracy, and usability of customer data
• Own the creation, testing, and validation of audiences/segments and journey workflows to enable targeted marketing activities
• Utilize and train out-of-the-box AI/machine-learning models
• Perform ongoing data quality assurance, including monitoring and verifying data accuracy across marketing systems
• Monitor and optimize data workflows for performance, scalability, and reliability
• Maintain comprehensive documentation of platform configurations, operational workflows, and testing protocols to support team knowledge-sharing and smooth platform operation
• Troubleshoot data and platform issues promptly and collaborate with engineering teams and external vendors to escalate and resolve complex technical problems
• Work closely with data scientists, analysts, and marketing teams to deliver actionable datasets
• Lead complex data projects, propose innovative solutions, and mentor others in solving technical challenges
• Translate complex concepts into clear proposals and updates for stakeholders
• Work independently and efficiently, managing multiple tasks, priorities, and projects simultaneously and successfully
• Stay current with innovations in data management and propose strategies for marketing data orchestration
• Promote best practices in marketing data handling and integration.

Marketing Data Engineer

Data Engineer

Data Engineer

Senior Software Engineer – Edge Data Engineering

Senior Data Engineer