Senior Data Engineer

Avra; São Paulo; Teletrabalho; BRL 120.000 - 180.000; Tempo integral

Resumo da oferta

Uma empresa inovadora está em busca de um Engenheiro de Dados Sênior para se juntar à sua equipe de Plataforma de Dados. Neste papel, você será fundamental na implantação de modelos de IA e na construção de pipelines de dados escaláveis. A posição oferece a oportunidade de trabalhar em projetos desafiadores que impactam diretamente grandes empresas na América Latina. Se você é apaixonado por soluções de dados robustas e deseja contribuir para um ambiente de startup tecnológico profundo, esta é a oportunidade perfeita para você. Junte-se a nós e ajude a moldar o futuro da inteligência de dados na região.

Serviços

Trabalho 100% remoto

Opção de escritório em São Paulo

Férias ilimitadas

Plano de saúde nacional

Licença parental generosa

Qualificações

• 5+ anos de experiência em engenharia de dados e implementação de arquiteturas escaláveis.
• Experiência sólida com serviços AWS e linguagens de programação como Python ou Java.

Responsabilidades

• Implantar e manter modelos de IA em produção, garantindo desempenho e escalabilidade.
• Construir e otimizar pipelines de dados em tempo real usando AWS Kinesis.

Conhecimentos

Engenharia de Dados

AWS Kinesis

Python

Java

Scala

Modelagem de Dados

ETL

CI/CD

Comunicação

Formação académica

Graduação em Ciência da Computação ou área relacionada

Ferramentas

AWS Neptune

Descrição da oferta de emprego

About Avra

Avra is a deep tech data intelligence platform powered by foundational AI that translates the complexity of SMEs into strategic decisions for large enterprises. We develop our own foundational models from the ground up—without relying on third-party solutions—to deliver innovative insights that empower some of the leading banks and fintechs across Latin America. Founded in 2024 by Bruno Alano (ex-OpenAI) and Viviane Meister, our team brings together expertise from NVIDIA, Palantir, Google, and more to drive real impact.

About the Role

As a Senior Data Engineer on our Data Platform team, you will play a crucial role in deploying our AI models, constructing and maintaining scalable data pipelines using AWS Kinesis, and ensuring the accuracy of our relationship graph with AWS Neptune. Additionally, you will collaborate with our Research team to support advanced analytics and drive data-driven decision-making.

Responsibilities

• Model Deployment: Deploy, monitor, and maintain AI models in production, ensuring optimal performance and scalability.

• Data Pipelines: Build and optimize real-time data ingestion and processing pipelines using AWS Kinesis.

• Graph Management: Maintain and update our heterogeneous relationship graph on AWS Neptune to ensure data accuracy and relevance.

• Collaboration: Work closely with the Research team to integrate data flows that support advanced AI analytics.

• Architecture Design: Develop robust data architectures that facilitate efficient storage, retrieval, and processing of high-volume data.

• Best Practices: Implement and promote data quality, security, and scalability standards across all engineering practices.

• Cross-Functional Alignment: Partner with various teams to ensure data engineering initiatives align with our strategic vision.

You Stand Out If

• You have extensive experience in data engineering, particularly in building real-time data pipelines using AWS Kinesis or similar technology.

• You are proficient with graph databases, with hands-on experience managing data in AWS Neptune.

• You’re experienced in deploying and monitoring machine learning models in production environments.

• You thrive in a collaborative, fast-paced, and innovative deep tech startup environment.

• You are proactive, detail-oriented, and have a strong analytical mindset.

Qualifications

• Experience: 5+ years in data engineering with a proven track record of deploying scalable data architectures.

• Technical Proficiency: Solid experience with AWS services and proficiency in programming languages such as Python, Java, or Scala.

• Data Expertise: Strong understanding of data modeling, ETL processes, and real-time data processing.

• Methodologies: Familiarity with CI/CD pipelines and modern software development practices.

• Collaboration: Excellent communication skills and the ability to work effectively within a remote, cross-functional team.

Why Join Avra?

• Competitive Compensation: Attractive salary, equity participation, and full transparency in our compensation structure.

• Impactful Work: Directly contribute to a platform that empowers strategic decisions for large enterprises.

• Innovative Environment: Tackle challenging, cutting-edge data engineering projects in a deep tech startup used by leading banks and fintechs in LATAM.

• Flexible Culture: Enjoy 100% remote work with the option of using our São Paulo office, unlimited vacation, and a comprehensive benefits package including a national health plan and generous parental leave.

If you are passionate about crafting robust data solutions and ready to drive innovation in a deep tech environment, we’d love to hear from you. Apply now to join Avra and help shape the future of data intelligence in Latin America.