Marketing Automation

1 dia atrás

Santa Luzia, Brasil Capgemini Tempo inteiro

We are seeking a highly motivatedMarketing Automation & Integration Engineerto join our team.Our Client is one of the United States' largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world.What to expect on your journey with us:A solid and innovative company with a strong market presenceA dynamic, diverse, and multicultural work environmentLeaders with deep market knowledge and strategic visionContinuous learning and developmentTeam Function:The team is responsible for architecting and maintaining scalable MarTech solutions, with a focus on:- Data integration- Customer journey orchestration- Marketing automationThis team operates within the Data, Tech, and Operations tower of the Direct BU.Role Description:This role centers on the implementation and optimization of a MarTech data flow pattern involving Snowflake, Segment, Braze, and other SaaS platforms.Key responsibilities include:Design and maintain data pipelines between Snowflake, Segment CDP, Braze, and additional platformsImplement real-time and batch data ingestion strategiesManage customer event tracking and identity resolution within SegmentOrchestrate personalized marketing campaigns in Braze using dynamic segmentation and behavioral triggersEnsure data integrity and feedback loops from Braze back into Snowflake via SegmentAutomate data transformations and enrichment using scripting languagesMonitor system performance and troubleshoot integration issues across platformsRequirements4 to 6 years of experience in IT environments with a strong focus on MarTech architecture.Familiarity with insurance industry data and customer lifecycle models is a plus.Bachelor's degree in Computer Science/IT, Data Science, Software Engineering.Fluency in EnglishSoftware / ToolsSegment CDPBrazeSnowflakeScripting Languages (Python / JS)Other Critical SkillsReverse ETLData Orchestration PlatformsCustomer Data Schema DesignConsent & Preference ManagementData modeling and ETL/ELT PipelineAPI Integrations / WebhooksCustomer journey mapping and automation logicBenefitsThis position comes with competitive compensation and benefits package:Competitive salary and performance-based bonusesComprehensive benefits packageCareer development and training opportunitiesFlexible work arrangements (remote and/or office-based)Dynamic and inclusive work culture within a globally reknowned groupPrivate Health InsurancePension PlanPaid Time OffTraining & Development

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