Sr Data Engineer (Chapter / Analytics & Modeler)

RecargaPay; Brasil; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A RecargaPay está em busca de um Senior Data Engineer para integrar sua equipe 100% remota. O profissional será responsável por desenvolver e implementar soluções de arquitetura de dados que atendam às necessidades estratégicas da empresa, contribuindo para a tomada de decisões baseada em dados. A posição é ideal para quem busca um desafio em um ambiente inovador e dinâmico, onde a autonomia e a colaboração são valorizadas.

Serviços

Salário competitivo e alinhado ao mercado

Trabalho remoto

Auxílio home office

Planos de saúde e dental

Seguro de vida

Vale refeição flexível

Aulas de Espanhol ou Português

Qualificações

• Experiência significativa em modelagem de dados e arquitetura de sistemas.
• Profundo conhecimento em bancos de dados SQL e NoSQL.
• Familiaridade com ferramentas de ETL e integração de dados.

Responsabilidades

• Desenhar e implementar arquiteturas de dados escaláveis e seguras.
• Colaborar com equipes multifuncionais para garantir a eficiência dos dados.
• Documentar processos e padrões de dados.

Conhecimentos

Data Modeling

SQL

NoSQL

Data Warehousing

ETL/ELT

Big Data

Cloud Computing

Data Security

APIs

Agile Methodologies

Descrição da oferta de emprego

4 weeks ago Be among the first 25 applicants

Come Make an Impact on Millions of Brazilians!

At RecargaPay, we're on a mission to deliver the best payment experience for Brazilian consumers and small businesses — by building a powerful digital ecosystem where the banked and unbanked connect, and where consumers and merchants have a one-stop shop for all their financial needs.

We serve over 10 million users and process more than USD 4 billion annually. We've been profitable since 2022 and operate our own credit business. We are an AI-first, 100% remote team, scaling in the rapidly changing Brazilian financial market.

Our goal? Deliver the best payment experience in Brazil for people and small businesses alike.

We value autonomy, ownership, and a bias for action. We're looking for people who are curious, hands-on, and driven by impact — who want to solve real problems, work with strong teams, and rethink what's possible.

If you're ready to do your best work, at scale, with purpose — this is your place.

Key Responsibilities:

The Senior Data Engineer is responsible for designing, developing, and implementing scalable, secure, and efficient data architectures to meet the organization's strategic needs. They ensure data governance, process optimization, and system integration, contributing to data-driven decision-making.

• Define and design the company's data architecture, aligned with best practices and business needs
• Create conceptual, logical, and physical data models, ensuring data structuring and integrity
• Develop robust and scalable data pipelines, optimizing ETL/ELT processes for Big Data and Data Warehousing
• Lead data governance initiatives, establishing quality, security, and compliance policies (LGPD, GDPR)
• Ensure interoperability between systems and platforms, creating architectures that enable integration across multiple data sources
• Support the selection of technologies and tools for data storage, processing, and analysis (Data Lakes, Data Warehouses, Cloud, etc.)
• Collaborate with cross-functional teams (Data Engineers, Data Scientists, BI Analysts) to ensure data efficiency and quality
• Conduct audits and optimizations to improve the performance of databases and data solutions
• Document processes, architecture, and data standards to ensure reproducibility and maintenance
• Act as a technical mentor, training other professionals and ensuring the dissemination of best practices in data architecture
  
  
  

Requirements

• Data Modeling (conceptual, logical, and physical)
• SQL and NoSQL Databases (PostgreSQL, MySQL, Oracle, ElasticSearch)
• Data Warehousing and Data Lakes Architecture (Snowflake, Redshift, BigQuery, Hadoop)
• ETL/ELT and Data Integration (Apache Airflow, DBT)
• Big Data and Distributed Processing (Spark, Kafka, Flink, Databricks)
• Cloud Computing (AWS, Azure, Google Cloud - services like S3, Glue, Data Factory, BigQuery)
• Data Security and Governance (LGPD, GDPR, RBAC, data encryption)
• APIs and System Integration (REST, GraphQL, gRPC)
• Agile Methodologies (Scrum, Kanban)
  
  

Nice-to-Haves:

• Certifications such as AWS Certified Data Analytics, Google Cloud Professional Data Engineer, Azure Data Engineer Associate
• Visualization and BI tools (Qlik Sense, Tableau)
• Experience with real-time data engineering and serverless architectures
• Knowledge of Machine Learning and AI applied to data
  
  
  

Benefits

• Competitive and market-aligned salary
• Remote work — wherever you are, you're part of the team!
• Home office allowance through a monthly deposit in the RecargaPay app
• Health and dental plans with no co-pay
• Life insurance
• Flexible meal allowance (via Flash)
• TotalPass membership to take care of your health
• Spanish or Portuguese classes
  
  
  

Diversity & Inclusion at RecargaPay

At RecargaPay, you'll have the freedom to be who you are because we believe that diverse perspectives and experiences make us more creative and stronger. Here, everyone is welcome to express themselves authentically. We value the richness of each journey and the multiple ways of seeing the world, without distinctions of gender, race, sexual orientation, age, religion, or any other characteristic that makes us unique.

About The Use Of Your Data

By sharing your resume with us, you authorize the use of your data for analysis during the selection process and possibly for other opportunities within the RecargaPay group. You can request the update or deletion of your information at any time, in accordance with LGPD (General Data Protection Law).

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  IT Services and IT Consulting

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