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The CRM Data Engineer will manage, integrate, and migrate customer data across multiple systems, ensuring data quality and consistency. Key responsibilities include developing Oracle-based solutions, designing data migration processes, and working with business stakeholders to translate requirements into technical solutions.
Design and build data pipelines and APIs while maintaining business-critical applications in Python and TypeScript. Work across Google Cloud, BigQuery, and MongoDB to automate processes and improve data quality. Collaborate with stakeholders to translate business needs into technical solutions and enhance system reliability.
The Lead Data Engineer will develop, maintain, and quality assure numerical models for calculating pEPR fees and producer payments. They will lead the data strategy, ensuring robust and transparent processes, and collaborate across teams to support decision-making and policy development.
This role involves designing and building analytics-ready data models, enabling self-service reporting, and delivering trusted datasets to support strategic business decisions. You will work closely with stakeholders to translate business requirements into robust data solutions, using SQL and cloud data platforms like GCP/BigQuery.
The Data Automations Manager leads the Salesforce ecosystem for customer engagement, ensuring data flows, automation, and team development. They maintain the Single Customer View, enhance data hygiene, and support multi-channel journeys while leading a team of Data Automation Leads.
