FBS Data Scientist (Marketing)

Capgemini

Brasil

Presencial

BRL 134 000 - 234 000

Tempo integral

14 dias+
Gerador de candidaturas

Transforma esta função numa entrevista — um currículo e uma carta de apresentação criados à volta do que este empregador procura.

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Vantagens oferecidas por esta oferta de emprego

Competitive salary
Bonuses
Health insurance
Meal tickets
Pension Plan
Career development

Resumo da oferta

Capgemini, acting as Employer of Record for Farmers Direct Tech Team, seeks a data engineer to architect and optimize MarTech data flows across Snowflake, Segment, Braze, and related platforms.

You will design data pipelines, implement real-time and batch ingestion, and manage event tracking and identity resolution to enable personalized marketing campaigns while ensuring data quality and reliability.

Qualificações

  • 3+ years of experience with Python and SQL.
  • Experience with data modeling and ETL processes.
  • Experience with data orchestration platforms.
  • Knowledge of Customer Data Schema Design.
  • Knowledge of API Integrations and Webhooks.
  • 2+ years of experience in Segment CDP.
  • Hands-on experience with Snowflake.
  • Experience in marketing environments.

Responsabilidades

  • Implement and optimize a MarTech data flow using Snowflake, Segment, Braze, and other SaaS platforms.
  • Design and maintain data pipelines between Snowflake, Segment CDP, Braze, and other 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 segmentation and triggers.
  • Ensure data integrity and feedback from Braze to Snowflake via Segment.
  • Automate data transformations and enrichment with scripting languages.
  • Monitor performance and troubleshoot integration issues across platforms.

Conhecimentos

Python
SQL
Data modeling
ETL
Data orchestration
API integrations
Segment CDP
Snowflake
Braze
CRM

Ferramentas

Snowflake
Segment CDP
Braze
CRM

Descrição da oferta de emprego

FBS - Farmer Business Services is part of Farmers operations with the purpose of building a global approach to identifying, recruiting, hiring, and retaining top talent. By combining international reach with US expertise, we build diverse and high-performing teams that are equipped to thrive in today's competitive marketplace.

We believe that the foundation of every successful business lies in having the right people with the right skills. That is where we come in—helping Farmers build a winning team that delivers consistent and sustainable results.

Since we don't have a local legal entity, we've partnered with Capgemini, which acts as the Employer of Record. Capgemini is responsible for managing local payroll and benefits.

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

The Farmers Direct Tech Team supports the technical infrastructure and data operations of the Farmers Direct Business Unit. The team is responsible for architecting and maintaining scalable MarTech solutions, with a focus on; Data integration, Customer journey orchestration and Marketing automation. This team operates within the Data, Tech, and Operations tower of the Direct BU.

Responsibilities
  • This role centers on the implementation and optimization of a MarTech data flow pattern involving Snowflake, Segment, Braze, and other SaaS platforms
  • 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
  • 3+ years of experience working with Python and SQL
  • Experience performing data modeling and ETL processes
  • Data Orchestration Platforms
  • Customer Data Schema Design - Entry Level
  • Knowledge in API Integrations and Webhooks
  • 2+ years of experience in Segment CDP
  • Hands-on experience working with Snowflake
  • Experience working in a Marketing environment
  • Experience working with CRM
Nice to Have
  • Braze experience or any other marketing tool
Benefits

This position comes with competitive compensation and benefits package:

  • Competitive salary and performance-based bonuses
  • Comprehensive benefits package
  • Career development and training opportunities
  • Dynamic and inclusive work culture within a globally renowned group
  • Private Health and Dental Insurance
  • Pension Plan
  • Meals tickets
  • Life Insurance
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