Marketing Automation

Há 3 dias

Ribeirão das Neves MG, Brasil Capgemini Tempo inteiro

We are seeking a highly motivated Marketing Automation & Integration Engineer to 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 presence A dynamic, diverse, and multicultural work environment Leaders with deep market knowledge and strategic vision Continuous learning and development Team Function: The team is responsible for architecting and maintaining scalable MarTech solutions, with a focus on: Data integration Customer journey orchestration Marketing automation This 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 platforms Implement real-time and batch data ingestion strategies Manage customer event tracking and identity resolution within Segment Orchestrate personalized marketing campaigns in Braze using dynamic segmentation and behavioral triggers Ensure data integrity and feedback loops from Braze back into Snowflake via Segment Automate data transformations and enrichment using scripting languages Monitor system performance and troubleshoot integration issues across platforms Requirements 4 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 English Software / Tools Segment CDP Braze Snowflake Scripting Languages (Python / JS) Other Critical Skills Reverse ETL Data Orchestration Platforms Customer Data Schema Design Consent & Preference Management Data modeling and ETL/ELT Pipeline API Integrations / Webhooks Customer journey mapping and automation logic Benefits This position comes with competitive compensation and benefits package: Competitive salary and performance-based bonuses Comprehensive benefits package Career development and training opportunities Flexible work arrangements (remote and/or office-based) Dynamic and inclusive work culture within a globally reknowned group Private Health Insurance Pension Plan Paid Time Off Training & Development

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